#Contactless Torque Sensor

[thmhaude]

Precision in Motion: The Importance of Linear Position Sensors in Hydraulic Cylinders

In hydraulic systems, power is nothing without control. Whether it’s lifting, pushing, or positioning, the ability to monitor the exact location of a cylinder’s piston rod can be the difference between smooth operation and costly inefficiency. That’s where linear position sensors come in—a technology that has become essential in applications demanding real-time feedback, safety, and motion accuracy.

At THM Huade, we understand that for today’s machinery to perform at its best, it must also think—monitoring itself and adjusting on the fly. Integrating linear position sensors into hydraulic cylinders is one of the most effective ways to achieve this.

What Does a Linear Position Sensor Actually Do?

A linear position sensor is designed to measure the position of a piston or rod within a hydraulic cylinder and transmit that data to a controller or interface. This allows a system to “know” exactly where the rod is in its stroke—helping manage speed, force, and response in real-time.

These sensors come in a range of formats, including:

Magnetostrictive sensors for high precision and durability

Potentiometric sensors for cost-sensitive applications

Inductive and LVDT types for rugged, contactless performance

Regardless of the technology, the goal is the same: deliver continuous, accurate position feedback under tough industrial conditions.

Why Hydraulic Systems Need Real-Time Position Sensing

Hydraulic cylinders are workhorses. They generate immense force and are used in everything from heavy construction to aerospace. But without position sensing, they’re effectively “blind”—relying only on pressure changes or end-limit switches for control.

Here’s how linear position sensors add value:

Improved accuracy in stroke movement

Feedback for automated or closed-loop systems

Enhanced safety with position-aware operations

Reduced downtime via diagnostics and predictive maintenance

Energy savings by optimizing fluid delivery to actual load requirements

For OEMs and system designers, adding a sensor turns a standard hydraulic cylinder into a smart actuator, capable of adapting to changing loads, sequences, and safety logic.

Built to Endure: Sensor Technology from THM Huade

THM Huade offers sensor-integrated hydraulic solutions built for industries where failure is not an option. Our sensors are designed for:

Shock and vibration resistance in off-road and industrial settings

IP-rated protection against dust, water, and extreme temperatures

Long service life, with solid-state and contactless options for minimal wear

We work closely with OEMs to embed these sensors directly into the cylinder housing or mount them externally, depending on system requirements and maintenance preferences.

Use Cases: From Automation to Heavy Machinery

The adoption of linear position sensors is growing rapidly in:

Agricultural machinery (e.g., smart tractors, sprayers)

Construction equipment (e.g., excavators, cranes, lifts)

Industrial automation (e.g., material handling, robotic arms)

Energy and marine sectors (e.g., dam gates, drilling platforms)

In each application, precise position feedback helps operators and systems execute movements more efficiently, safely, and reliably.

The Future: Smart Hydraulics and Industry 4.0

As machines become more intelligent, the demand for real-time feedback loops grows. Position sensors play a central role in enabling predictive maintenance, adaptive controls, and remote diagnostics—pillars of Industry 4.0.

At THM Huade, we’re not just building components; we’re engineering intelligent hydraulic solutions that fit seamlessly into the future of connected machinery.

Upgrade your hydraulics with smart sensing. Learn more about linear position sensor solutions from THM Huade.

[qctsfaridabad]

Calibration Services

covering disciplines as below:

Discipline

Parameters / Instruments taken up for Calibration

Electro-Technical

AC Voltage/AC Current/ DC voltage/ DC Current/ Resistance/Low Resistance/Temp. Simulation (Indicator/Controller)/Frequency/Timer/Stop Watch/ Active Power/Capacitance/AC Power Energy Single/Three Phase Active/Power Factor/Inductance/High Voltage(0-100KV)/Tan Delta

Thermal & Relative Humidity

Black Body Source/IR Thermal Imager / IR Thermometer/Infrared Temp. Sensor/ Contactless Temp. Sensor/Transmitter/Thermal Imaging/Camera/IR Gun/Radiation Pyrometer/IR Detector/Thermal Imager/Laser Pointed/IR Pyrometer/Temp. Indicator of Freezers/Oven/Environment Chamber/Incubator/Liquid Bath/ Dry Block Furnace/Metrology Well/Dry Block Calibrators/Muffle Furnace/BOD Incubator/Temp. Transmitter RTD’s Thermocouples /Glass Thermometer/Temp. Switch/Data Logger/Temp. Gauge/Thermal Mapping(Multiple Position)/Heating Chamber/Furnaces/Cold Room/Humidity Sensor with Indicator of Humidity Chamber/Climate Chamber/Temp. & Rh sensor with indicator/Thermo-Hygrometer/Data Logger with Internal-External Sensor

Mechanical

Tachometer/Digital Tachometer/Speed Sensor/ RPM Sensor with Indicator/

Centrifuge/Sound Level Meter/Bore Gauge/Coating Thickness Gauge/Dial Gauge/Plunger Dial Gauge/Dial Thickness Gauge/ External Micrometer/

Plunger Dial/Micrometer Head -L.C0.0001 mm/Inside Dial Caliper/Inside Pistol Caliper/Internal Micrometer/Magnetic V Block/Foils/Feeler Gauge/Height Gauge/Mould Cube/Snap Gauge/Test Sieves/Thread measuring pins/Ultrasonic Thickness Gauge/Vernier Caliper/Bevel Protractor/Combination set/Digital Angle Protractor/Cylindrical Measuring pins/ Comparator Stand/Depth Caliper/Depth Micrometer/ Elongation Index/Flakiness Index Apparatus/Plain Gauge/Steel Scale/Wheel Distance Gauge/Measuring Tape/Laser Distance Meter/Length Bar/Micrometer Setting Rod/Micrometer Extension Rod/Riser Rod/Height Setting Master/Outside Pistol Caliper/Outside Caliper Gauge/Caliper Checker/Step Gauge/Electronic Probe/Digimatic Indicator/LVDT-0.0001mm/Plunger Dial/Rubber Hardness Tester/Pressure Gauge/Vacuum Gauge/Pressure Transmitter/Pressure Transducer/Torque Wrench/Bench Centre/Surface Plate/Profile Projector/Surface Roughness Tester/ Weighing Balance

We prioritize customer satisfaction and strive to deliver exceptional service with fast turnaround times. Additionally, our competitive pricing ensures that you receive excellent value for your investment and offer onsite calibration services for your convenience.

We would like to invite you to review the attached documents containing our profile, certificates, scope, and additional details. Furthermore, we extend a warm invitation for you to visit our calibration facility. We are eager to collaborate with you and provide our esteemed services.

Please find enclosed the profile and other pertinent details of Quality Calibration Testing Solutions and same can be found on company’s website as below:

If you have any questions or would like to schedule calibration services, please don't hesitate to contact us. We would be delighted to discuss your requirements further and demonstrate how our calibration solutions can benefit your organization.

Thank you for considering our services. We look forward to the opportunity to work with you and deliver our exceptional services.

[datumelectronic-blog]

Rotary Torque Sensor To Measure Inline Rotational Torque

Find Rotary Torque Sensor to measure inline rotational torque in shafts, pumps, gearboxes, etc., exactly for the standard measurements. Visit the website of Datum Electronics online and get more details about the products!

[suanhuatmy-blog]

Four Useful BMW Features

Versatile Headlights The Adaptive Headlights cast their shaft toward the bend you're guiding towards, guaranteeing better response and wellbeing amid night drives on winding streets. The sensors measure speed, guiding edge and yaw (level of pivot around the vertical hub) before the little electric engines are imparted to turn the headlights left or right. Furthermore, Adaptive Headlights are just dynamic when the vehicle is pulling without end. They stay turned off when the BMW is backward and when the directing wheel is swung to one side while the vehicle is stationary (e.g. when hauling out of a parallel parking spot) to abstain from astonishing approaching movement. Versatile Headlights are supplemented by cornering lights. These are consequently initiated at paces of up to 70 km/h and enhance perceivability in the prompt region of the vehicle, which is helpful when driving along fastener curves, turning or stopping. BMW Head-Up Display The BMW Head-Up Display ventures applicable driving data specifically into the driver's observable pathway, enabling you to process driving data quicker by up to half and keep your consideration out and about. BMW vehicles with BMW Head-Up Display has a little square sadness on the dashboard. It contains a projector and an arrangement of mirrors that pillars a simple to-peruse, high-differentiate picture onto a translucent movie on the windscreen, specifically in your observable pathway. The picture is anticipated so that it has all the earmarks of being around two meters away, over the tip of the hat, making it especially agreeable to peruse. Notwithstanding the speed, which is shown for all time, the BMW Head-Up Display can likewise indicate other substance relying upon model and hardware. Models include: rpm (in BMW X5 M and BMW X6 M this is multi-hued), route directions like the Guiding data with crossing point zoom capacity and Lane Guiding, Speed Limit Info and the status of the Active Cruise Control. Driver Assistant alerts and the Check Control are likewise shown in the BMW Head-Up Display, e.g. person on foot acknowledgment from BMW Night Vision or the Collision Warning. Contactless opening of the rear end is another creative innovation from BMW ConnectedDrive. A sensor identifies a concise development of your foot beneath the back guard and sends a flag to the on-board PC, which opens the rear end. The rear end at that point springs open without anyone else or is opened by the discretionary back end lift. Dynamic Stability Control (DSC) The DSC enhances wellbeing by encouraging vehicle control even in antagonistic driving conditions or on extreme surfaces. DSC is the core of the suspension control frameworks in BMW vehicles. It guarantees the most elevated conceivable levels of solidness when driving, and it amplifies footing of all wheels when setting off or quickening. It can identify the main indications of oversteering or understeering and helps keep the vehicle securely on course, regardless of whether the tires have changing levels of hold. The motor and brake administration frameworks are focused on particularly; xDrive is likewise incorporated into all-wheel drive vehicles. Lessening or expanding the motor torque or braking singular wheels can enhance security and footing. Dynamic Steering's coordinated yaw control framework can even help fundamentally decrease controlling exertion and the degree of DSC's commitment to security. Visit http://www.suanhuat.com.my

[cvsmartautosb]

NEW INCOMING STOCK !!! FRESH DEAL IN TOWN !!! BMW 530i G30 M Sport CBU year 2017 which Under WARRANTY & FREE SERVICE for total 5 years ... - CBU unit which mean import baru - Under BMW Warranty and eligible for FREE SERVICE - First batch of G30 that fully import - 16 valve DOHC Twin Scroll Turbo engine - 252hp & 350Nm torque - 8 speed auto transmission with Steptronic - 19” inch M double spoke style sport rim - Total 6 airbags - Automatic city brake when it’s under 80km/h - Warning light for lane keeping assist - Adaptive LED projectors with High Beam Assist - LED combination taillamp - Memory seat for front 2 seats - Sunroof with Reverse Camera & GPS - Power rear sunshade and also manual rear door - 10.25” BMW iDrive Touch controller - 16 speakers Harman Kardon sound system - Keyless entry and Push start button - Power Boot & contactless system - Total 12 sensors for front & rear - Auto Parking system - Many features more ... Kindly contact our professional sales team to make an appt to view this special unit ... Veron NG +60122866884 Nika +60127128349 Office phone no: +60377726218 We are the only Car Boutique in town , we are CV SMART AUTO SDN BHD, we serve you the best 🙂 我们是世紀智能汽車有限公司，我们竭诚为您服务 🙂 #cvsmartauto #cvsmartautosb #cvsmartcarboutique #carboutique #世紀智能汽車有限公司 #高級二手汽車買賣市場 #facebook #instagram #google #pinterest #youtube #wechat #linkedin #tumblr #twitter #google+ #googlemaps #waze #bmw #G30 #msport #CBU #under #warranty #free #service #bmw5series #5series #530i #beemer (at CV SMART AUTO SDN BHD 世紀智能汽車有限公司) https://www.instagram.com/p/B9Hh-OHnIbP/?igshid=1ewmgspomvur

[iotindustrynews]

See How Magnetic Field Sensors Market anticipated to grow exponentially by 2023 ($5.37 Billion Market)

“Magnetic Field Sensor Market by Type (Hall Effect, Magnetoresistive (AMR, GMR, TMR), SQUID, Fluxgate)), Range (<1 Microgauss, 1 Microgauss–10 Gauss, and >10 Gauss), Application, End-User Industry, Geography - Global Forecast to 2023"

The overall magnetic field sensor market is expected to be valued at USD 5.37 Billion by 2023, growing at a CAGR of 8.77% between 2017 and 2023. The demand for reliable, high-performance, and low-cost sensors is increasing, leading to the development of new technologies. Magnetic sensors offer several key advantages; they allow contactless and consequently wear-free measurement of mechanical and electrical quantities, such as angle of rotation, angular speed, linear position, linear speed, and current. These devices have gained immense popularity as they are robust and cost-effective.

Asahi Kasei Microdevices (AKM) and Allegro Microsystems (Japan) are the Major Players  in the Magnetic Field Sensor Market

The magnetoresistive magnetic field sensors are used in engine management, gearbox, transmission systems, vehicle speed, Electronic Throttle Control (ETC),DC motor commutation, Variable Valve Control (VVC), pedal and wiper positioning, automatic headlight adjustment, Electronic Power Steering (EPS) for rotor positioning and torque sensing, and seat positioning.

Download PDF Here: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=521

In the magnetic field sensor market, the automotive segment is expected to hold the major chunk of the market share by 2020,and is estimated to grow at a CAGR of 7.93% from 2014 to 2020. The government is also playing a significant role in the growth of the automotive magnetic field sensor market. For instance, environmental regulations in Europe tend to limit the pollution caused by road vehicles. This will boost the growth of the hybrid and electric cars, which use magnetic field sensors for current sensing and motor drive controlling applications.

Although, the safety regulations have provided significant opportunities for the magnetic sensor growth, the environmental regulations have been a strong driver for the growth of the automotive magnetic sensor market worldwide. These steps from the government have stimulated the growth of the vehicle security industry with magnetic field sensor applications such as antilock braking system and the central locking system. The‘Powertrain’ in which the magnetic sensors are used is acting as an emerging automotive application for the magnetic field sensor market in the Asia-Pacific region and is expected to show a promising growth in the coming future.

Significant up gradation and development of new magnetic field sensors for the automotive market have been the main strategies followed by the key players such as Allegro MicroSystems Inc. (U.S.), Infineon (Germany), Asahi Kasei Micro devices Corporation (Japan), Austria Microsystems AG (Germany), and Honeywell International (U.S.).

For more information visit: https://www.marketsandmarkets.com/Market-Reports/magnetic-field-sensors-market-521.html

Contact: Mr. Shelly Singh MarketsandMarkets™ INC. 630 Dundee Road Suite 430 Northbrook, IL 60062 USA : 1-888-600-6441.

[dorcasrempel]

Muscle signals can pilot a robot

Albert Einstein famously postulated that “the only real valuable thing is intuition,” arguably one of the most important keys to understanding intention and communication. 

But intuitiveness is hard to teach — especially to a machine. Looking to improve this, a team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with a method that dials us closer to more seamless human-robot collaboration. The system, called “Conduct-A-Bot,” uses human muscle signals from wearable sensors to pilot a robot’s movement. 

“We envision a world in which machines help people with cognitive and physical work, and to do so, they adapt to people rather than the other way around,” says Professor Daniela Rus, director of CSAIL, deputy dean of research for the MIT Stephen A. Schwarzman College of Computing, and co-author on a paper about the system. 

To enable seamless teamwork between people and machines, electromyography and motion sensors are worn on the biceps, triceps, and forearms to measure muscle signals and movement. Algorithms then process the signals to detect gestures in real time, without any offline calibration or per-user training data. The system uses just two or three wearable sensors, and nothing in the environment — largely reducing the barrier to casual users interacting with robots.

While Conduct-A-Bot could potentially be used for various scenarios, including navigating menus on electronic devices or supervising autonomous robots, for this research the team used a Parrot Bebop 2 drone, although any commercial drone could be used.

By detecting actions like rotational gestures, clenched fists, tensed arms, and activated forearms, Conduct-A-Bot can move the drone left, right, up, down, and forward, as well as allow it to rotate and stop. 

If you gestured toward the right to your friend, they could likely interpret that they should move in that direction. Similarly, if you waved your hand to the left, for example, the drone would follow suit and make a left turn. 

In tests, the drone correctly responded to 82 percent of over 1,500 human gestures when it was remotely controlled to fly through hoops. The system also correctly identified approximately 94 percent of cued gestures when the drone was not being controlled.

“Understanding our gestures could help robots interpret more of the nonverbal cues that we naturally use in everyday life,” says Joseph DelPreto, lead author on the new paper. “This type of system could help make interacting with a robot more similar to interacting with another person, and make it easier for someone to start using robots without prior experience or external sensors.” 

This type of system could eventually target a range of applications for human-robot collaboration, including remote exploration, assistive personal robots, or manufacturing tasks like delivering objects or lifting materials. 

These intelligent tools are also consistent with social distancing — and could potentially open up a realm of future contactless work. For example, you can imagine machines being controlled by humans to safely clean a hospital room, or drop off medications, while letting us humans stay a safe distance.

Muscle signals can often provide information about states that are hard to observe from vision, such as joint stiffness or fatigue.    

For example, if you watch a video of someone holding a large box, you might have difficulty guessing how much effort or force was needed — and a machine would also have difficulty gauging that from vision alone. Using muscle sensors opens up possibilities to estimate not only motion, but also the force and torque required to execute that physical trajectory.

For the gesture vocabulary currently used to control the robot, the movements were detected as follows: 

stiffening the upper arm to stop the robot (similar to briefly cringing when seeing something going wrong): biceps and triceps muscle signals;

waving the hand left/right and up/down to move the robot sideways or vertically: forearm muscle signals (with the forearm accelerometer indicating hand orientation);

fist clenching to move the robot forward: forearm muscle signals; and

rotating clockwise/counterclockwise to turn the robot: forearm gyroscope.

Machine learning classifiers detected the gestures using the wearable sensors. Unsupervised classifiers processed the muscle and motion data and clustered it in real time to learn how to separate gestures from other motions. A neural network also predicted wrist flexion or extension from forearm muscle signals.  

The system essentially calibrates itself to each person’s signals while they’re making gestures that control the robot, making it faster and easier for casual users to start interacting with robots.

In the future, the team hopes to expand the tests to include more subjects. And while the movements for Conduct-A-Bot cover common gestures for robot motion, the researchers want to extend the vocabulary to include more continuous or user-defined gestures. Eventually, the hope is to have the robots learn from these interactions to better understand the tasks and provide more predictive assistance or increase their autonomy. 

“This system moves one step closer to letting us work seamlessly with robots so they can become more effective and intelligent tools for everyday tasks,” says DelPreto. “As such collaborations continue to become more accessible and pervasive, the possibilities for synergistic benefit continue to deepen.” 

DelPreto and Rus presented the paper virtually earlier this month at the ACM/IEEE International Conference on Human Robot Interaction.

Muscle signals can pilot a robot syndicated from https://osmowaterfilters.blogspot.com/

[scienceblogtumbler]

Muscle signals can pilot a robot

Albert Einstein famously postulated that “the only real valuable thing is intuition,” arguably one of the most important keys to understanding intention and communication.

But intuitiveness is hard to teach — especially to a machine. Looking to improve this, a team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with a method that dials us closer to more seamless human-robot collaboration. The system, called “Conduct-A-Bot,” uses human muscle signals from wearable sensors to pilot a robot’s movement.

“We envision a world in which machines help people with cognitive and physical work, and to do so, they adapt to people rather than the other way around,” says Professor Daniela Rus, director of CSAIL, deputy dean of research for the MIT Stephen A. Schwarzman College of Computing, and co-author on a paper about the system.

To enable seamless teamwork between people and machines, electromyography and motion sensors are worn on the biceps, triceps, and forearms to measure muscle signals and movement. Algorithms then process the signals to detect gestures in real time, without any offline calibration or per-user training data. The system uses just two or three wearable sensors, and nothing in the environment — largely reducing the barrier to casual users interacting with robots.

While Conduct-A-Bot could potentially be used for various scenarios, including navigating menus on electronic devices or supervising autonomous robots, for this research the team used a Parrot Bebop 2 drone, although any commercial drone could be used.

By detecting actions like rotational gestures, clenched fists, tensed arms, and activated forearms, Conduct-A-Bot can move the drone left, right, up, down, and forward, as well as allow it to rotate and stop.

If you gestured toward the right to your friend, they could likely interpret that they should move in that direction. Similarly, if you waved your hand to the left, for example, the drone would follow suit and make a left turn.

In tests, the drone correctly responded to 82 percent of over 1,500 human gestures when it was remotely controlled to fly through hoops. The system also correctly identified approximately 94 percent of cued gestures when the drone was not being controlled.

“Understanding our gestures could help robots interpret more of the nonverbal cues that we naturally use in everyday life,” says Joseph DelPreto, lead author on the new paper. “This type of system could help make interacting with a robot more similar to interacting with another person, and make it easier for someone to start using robots without prior experience or external sensors.”

This type of system could eventually target a range of applications for human-robot collaboration, including remote exploration, assistive personal robots, or manufacturing tasks like delivering objects or lifting materials.

These intelligent tools are also consistent with social distancing — and could potentially open up a realm of future contactless work. For example, you can imagine machines being controlled by humans to safely clean a hospital room, or drop off medications, while letting us humans stay a safe distance.

Muscle signals can often provide information about states that are hard to observe from vision, such as joint stiffness or fatigue.

For example, if you watch a video of someone holding a large box, you might have difficulty guessing how much effort or force was needed — and a machine would also have difficulty gauging that from vision alone. Using muscle sensors opens up possibilities to estimate not only motion, but also the force and torque required to execute that physical trajectory.

For the gesture vocabulary currently used to control the robot, the movements were detected as follows:

stiffening the upper arm to stop the robot (similar to briefly cringing when seeing something going wrong): biceps and triceps muscle signals;

waving the hand left/right and up/down to move the robot sideways or vertically: forearm muscle signals (with the forearm accelerometer indicating hand orientation);

fist clenching to move the robot forward: forearm muscle signals; and

rotating clockwise/counterclockwise to turn the robot: forearm gyroscope.

Machine learning classifiers detected the gestures using the wearable sensors. Unsupervised classifiers processed the muscle and motion data and clustered it in real time to learn how to separate gestures from other motions. A neural network also predicted wrist flexion or extension from forearm muscle signals.

The system essentially calibrates itself to each person’s signals while they’re making gestures that control the robot, making it faster and easier for casual users to start interacting with robots.

In the future, the team hopes to expand the tests to include more subjects. And while the movements for Conduct-A-Bot cover common gestures for robot motion, the researchers want to extend the vocabulary to include more continuous or user-defined gestures. Eventually, the hope is to have the robots learn from these interactions to better understand the tasks and provide more predictive assistance or increase their autonomy.

“This system moves one step closer to letting us work seamlessly with robots so they can become more effective and intelligent tools for everyday tasks,” says DelPreto. “As such collaborations continue to become more accessible and pervasive, the possibilities for synergistic benefit continue to deepen.”

DelPreto and Rus presented the paper virtually earlier this month at the ACM/IEEE International Conference on Human Robot Interaction.

source https://scienceblog.com/515879/muscle-signals-can-pilot-a-robot/

[rosesana]

DYNAMIXEL-P series - PM54-040-S250-R

DYNAMIXEL-P series -   PM54-040-S250-R

Dynamixel is exclusive to the servo smat robot that inside has been fully integrated with a DC motor, gearhead reduction, controller, driver, and network in a compact servo. Dynamixel P Series implements removable cycloid reduction gears, resulting in a performance with high precision and impact resistance.

Note:  Dynamixel P Series uses a 24V voltage, it is recommended to use a separate power supply. Series 54 can not use the old type frame. Not compatible with FRP54-H110 / 120/210/220.

features

Torque control based on current sensing.

Instruction based control position, torque, and speed.

High-resolution actuators with a combination of Incremental Encoder and Absolute Encoder Contactless.

Using a metal casing for long-term durability.

Can be used to make full-size manipulator, pan tilt, humanoid robot, and so on.

Detail Upgrade pada Dynamixel P Series

Improved design and the addition of JST connectors.

Increased dust protection

Improved control table (support functions on Dynamixel X Series)

Improved control performance such as responsiveness and resolution.

Improved responsiveness of communication.

Improved heat resistance performance, noise and durability 

Specification

Microcontroller: Cortex-M4 32-bit @ 168 MHz

Working Voltage: 24 VDC

Speed: 29.2 RPM

Torsi: 3.9 N.m

Arus: 1.9A

Resolusi: 0.0007 deg / pulse

Step: 502.834 pulse

Angle: 360 degrees

Sensor Posisi: Contactless absolute encoder dan incremental encoder

Working temperature: -5 ° C - 55 ° C

Engine: BLDC (Maxon)

Baudrate: 9600 bps - 10.5 Mbps

Algorithm Control: PID

Tipe Gear: Cycloid

Material Gear: Precious Metal

Material Case: Precious Metal

Dimensi: 54.0 x 108.0 x 54.0 mm

Rasio Gear: 251.4 : 1

Protokol: Half duplex Asynchronous Serial Communication (8bit, 1stop, No Parity)

Communication: RS485 Multi-Drop Bus

ID: 0 - 252

Feedback: Position, velocity, current, temperature, voltage, external ports, etc.

Protocol Version: Protocol 2.0

Mode Operasi: Torque, Velocity, Position, Extended Position, serta PWM Control Mode

Power: 40W

Arus Standby: 40 mA

Document

E-Manual

Drawing

Free Compatibility

Comparison Table Dynamixel

Dynamixel SDK

Equipment Products:

1x PM54-040-S250-R

1x Robot Cable-X4P 300mm(Convertible)

1x Robot Cable-X4P 300mm

1x Power Cable-2P 600mm

20x Wrench Bolt WB M3x8

https://ift.tt/3aNcFPD March 11, 2020 at 10:16PM

[marketbytes]

The global market for Torque Sensors is forecast to reach US$1.7 billion by 2024, driven by the importance of torque measurement in heavy machinery manufacturing including motors, compressors, pumps, power generating/consuming equipment, automobiles, etc. In the automotive industry, torque sensor measurements are used prior to the assembly process and are used for testing combustion engines and transmission systems during the development stage. Accurate torque calibration is also equally important in research & development when new materials, processes and assembly techniques are in the process of being developed; during inspection and quality control to reduce pre-production errors and downtime; during production to safeguard against time, money, materials and labor wastages due to re-working; and during equipment servicing. The growing pressure to design more fuel efficient vehicles coupled the strict emission regulations are making the significance of torque as a measured quantity even higher and more critical in automobile engineering and production. Accurate torque measurement and calibration helps build better engines enhanced mechanical performance including higher rotation and acceleration performance. Other major factors also important in influencing growth in the market include continuous technological innovations; steady growth in automobile production; and emerging applications in industrial, aerospace, oil and gas and medical sectors. A key noteworthy innovation in torque transducers is the development of contactless or wireless transducers which utilize surface acoustic waves to provide non-contacting sensing thus eliminating the drawbacks of Conventional torque measuring solution such as Strain gauges which require to be connected via lip rings, inductive couplings and are prone to external factors such as electrical noise, and longer-term durability and reliability issues.  The United States represents the largest market worldwide. Asia-Pacific ranks as the fastest growing market with a CAGR of 7.7% over the analysis period led by healthy economic growth and industrialization trends; healthy production of automobiles against the backdrop of rising vehicle per capita vehicle ownership; and increasing availability of high quality yet affordable sensors with higher accuracy class, sensitivity tolerance, temperature stability and reliable linearity deviation and hysteresis. More…  

For enquiries e-mail us at rsd@strategyr.com or info411@strategyr.com

For cutting edge analyst reviews on top industries                                        Follow us on Twitter, Connect with us on LinkedIn, Follow us on Medium

[technato]

Scientists Use Light to Control Nanobots

Semiconductor nanoparticles under the influence of an electric field are directed by the intensity of light

If nanotechnology has one clear image in the collective pop-culture consciousness, it is that of nanorobots, nanoscale machines capable of performing mechanical functions. When considering the potential of such a technology, the more astute may ask themselves: How would you manage to direct the movements of these nanorobots?

Researchers at the University of Texas at Austin have discovered a physical phenomenon in the way that semiconductor nanoparticles interact with light when under the influence of an electric field that may answer that question.

In research described in the journal Science Advances, the University of Texas scientists discovered that the strong interactions of light, semiconductor nanoparticles, and electric fields lead to the efficient reconfigurable operation of semiconductor nanomotors, or nanodevices.

Using only optical microscopy, the researchers could distinguish between semiconductor silicon and gold nanoparticles by observing their mechanical responses to light. This method is contactless and cheap compared with traditional measurement techniques.

Gif: University of Texas at Austin/Science Advances

In addition, the researchers believe that this combination light/electric field effect could be used to reconfigure micro- or nanomechanical switches or antennas, or be coupled with micromachines for electronic and biomedical applications.

“I consider the discovered effect a mechanical analogy of the field-effect transistors [FETs], the building blocks of CPUs that have revolutionized society,” said Donglei Fan, associate professor at the University of Texas and coauthor of the research. “A FET switches on and off in response to an externally applied voltage. Our device switches among multiple mechanical rotation modes in response to light intensity, which is instant and can be repeated many times.”

To describe how the effect works, Fan explained that when light hits a semiconductor nanowire, it frees electrons and changes the electric conductivity of the nanowire and its polarization. When the nanowire is placed in an external electric field to drive its mechanical rotation, the driving torque is changed because of the light.

There are a number of applications that Fan and her colleagues believe the technology could be applied to. For instance, in optical sensing under the right conditions, it could become possible to correlate directly the mechanical motions with light intensity.

Fan also suggests it could be used in drug delivery. “Back in 2015, we discovered that mechanical rotation of drug carriers can change the molecule release rate,” she said. “Now, when light can change the rotation speed, one can change the molecule release rate.”

Fan acknowledges that to fully explore the applications in optical sensors or communication, it will be necessary to explore both top-down lithography and bottom-up assembling. Biosensors could be obtained by both approaches, according to Fan.

In all cases, Fan sees this technology enabling static devices to be dynamic and reconfigurable with simple control of light exposure, which is a step toward intelligent electronics and biomedical devices.

She added: “I personally believe this work can lead to a focused field. There are many projects we can do.”

Scientists Use Light to Control Nanobots syndicated from https://jiohowweb.blogspot.com

[mellowgardencreation]

Automotive steering torque sensors are used in vehicles with electric power steering (EPS). These sensors measure the steering force applied by the driver and enable the sensitive control of electric steering support. The sensor is based on a contactless magnetic measuring principle and has a magnetic unit, sensor unit, and a flux tube unit.

[sacer-shop-blog]

Stepper Motor Replace in Pointer Gauges

The world is digital today, and most information is represented in numbers. However, human nature is more "analog" and better represented in an old-fashioned way, using pointer gauges and bar graphs. Pointer gauges can be found in many applications. Automobiles, trains, and even modern aircraft dashboards. It does not look like good old pointer gauges will disappear in the near future.

An efficient way to control a pointer gauge is to use a stepper motor. A stepper motor is an electromechanical device that converts electrical pulses into discrete mechanical movements. The shaft or spindle of a stepper motor rotates in discrete step increments when electrical command pulses are applied to it in the proper sequence. The motor's rotation has several direct relationships to these applied input pulses. The sequence of the applied pulses is directly related to the direction of motor shafts rotation. The speed of the motor shafts rotation is directly related to the frequency of the input pulses.

Advantages of using stepper motors  

The motor has full torque at standstill (if the windings are energized).

Precise positioning and repeatability of movement since good stepper motors have an accuracy of 3 – 5% of a step and this error is noncumulative from one step to the next.

Excellent responsiveness to starting/stopping/reversing.

The motor’s response to digital input pulses provides open-loop control, making the motor simpler and less costly to control.

It is possible to achieve very low-speed synchronous rotation with a load that is directly coupled to the shaft.

A wide range of rotational speeds can be realized since speed is proportional to the frequency of the input pulses.

A perfect way to control a pointer gauge is to use a small stepper motor specially designed for pointer control. Today, many companies provide stepper motors for gauges which quality varies greatly. SA1077-1 stepper motor is among the first class quality level. And it is an optimal choice for OE replacement, it works just like the original.  

SA1077-1 goes exclusively for BMW 7 series / F01 / F02 / F03 / F04 / F07 / F08 / F10 / F11, GT. It is mainly used in dashboard or instrument cluster or some other digital indicator equipment to transfer a digital signal into an accurate analog display. The metal shaft is 8mm long.

  Advantages are as follows,

High precision in positioning and indication

Small & stable hysteresis, minimized position error.

Low noise

High-temperature capacity

High accuracy internal stopper design, internal reset supported

Perform smooth movement under micro-stepping control.

SACER Ltd, established in 2007, is dedicated to developing and producing electronic control modules products for automobile aftermarket, covers a total application area of instrument LCD display, ABS/ECU/repair spare parts, DC motor for the throttle body and automobile semiconductors, etc. And an ODM category of turbo actuator, contactless TPS sensor, ECU, window regulator, EPS/EHPS control board and air flow meter, etc. which requires products with highest stable quality and consistent performance to stand out from the fierce market competition. To learn more about SACER and find out what you need, please check it out at our online shop, https://www.sacer-shop.com

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[datumelectronic-blog]

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