#advanced process control

[rohitpalan]

Advanced process control (APC) with IoT drives real-time data analysis, fueling an 8.2% CAGR growth in the market: $3.1 billion in 2024 to $6.8 billion by 2034. Read More @ https://www.futuremarketinsights.com/reports/advanced-process-control-market

[end-orfino]

ahhhhhh i remember why i dont read comics & books and watch movies as much as I should. Because they make me lose it

[smartratework]

pvc electric red and blue wire #smartratework#tumblr

[ourstarsystem]

spent straight 5 hours researching gameboy hardware modding for hardware chiptune making instead of doing literaly else

[bluejaysfeathers]

“You think you’re better than me because-“ wrong. I know I’m better than you because I don’t constantly apologize for shit I have no intention of changing.

[controlanddynamicsinnovation]

Revolutionizing Servo Control: How Spectrum Engineering Leverages High-Order Controller Auto-Tuning

In today’s fast-paced industries, precise servo control is vital for robotics, automation, and precision machinery. Tuning controllers to balance stability, speed, and robustness—while addressing friction, backlash, or sensor noise—is complex. Spectrum Engineering, with over 25 years of expertise in control system design consulting, transforms these challenges into opportunities, delivering control and dynamics innovation using the high-order controller auto-tuning method.

A Breakthrough in High-Order Tuning

Traditional tuning, often limited to PID designs, struggles with complex systems needing higher-order controllers for superior performance. However, research by Yaron Zimmerman and Per-Olof Gutman pioneers control and dynamics innovation by auto-tuning high-order controller implementation using unconstrained optimization within the Quantitative Feedback Theory (QFT) framework. By minimizing a cost function that balances performance and stability—without requiring a detailed plant model—this method ensures robust control across uncertainties like mechanical constraints. The Nelder-Mead Simplex Method optimizes parameters efficiently, reducing design time while achieving precision.

Spectrum Engineering’s Practical Solutions

Spectrum Engineering applies these principles to deliver tailored servo control solutions. Their automatic tuning algorithms optimize high-order controllers for embedded systems, addressing issues like saturation or dead zones. For instance, a client in industrial automation achieved faster response times and enhanced stability after their control system design consulting tuned their system to handle backlash. Beyond tuning, they implement Kalman filters to reduce noise, design algorithms for unique challenges, and support mechanical and electronic integration.

Why Choose Spectrum Engineering?

Through control system design consulting, patent collaboration, or team training, Spectrum Engineering offers flexible services. Why build an in-house control team when their expertise in control and dynamics innovation delivers high-performance systems? Their research-inspired approach ensures precision without complexity.

Leading the Future of Control Systems

As control systems grow intricate, Spectrum Engineering leads with advanced auto-tuning and practical know-how. Contact them for control system design consulting or explore their training to elevate your servo systems. With Spectrum Engineering, precision and performance are within reach.

[indobazzarr]

Numerical Relays - Adlite Electricals

Enhance Power System Efficiency with CGI 14N 75-250VDC Relay

For reliable electrical system performance, a high-quality auxiliary relay is essential. The CGI 14N 75-250VDC Relay, available at Adlite Electricals, is designed for superior performance in industrial, commercial, and power utility applications. With its voltage range of 75-250VDC, it ensures stable and efficient operation in electrical protection and automation systems.

What is the CGI 14N 75-250VDC Relay?

The CGI 14N 75-250VDC Relay is an advanced auxiliary relay used in control and protection circuits. It processes electrical signals efficiently and enables precise switching for power management.

Key Features of CGI 14N 75-250VDC Relay

This relay offers exceptional advantages, making it an ideal choice for power system applications:

Wide Voltage Compatibility: Operates efficiently between 75-250VDC, making it suitable for diverse electrical systems.

High-Speed Response: Ensures rapid activation to prevent faults and enhance system safety.

Rugged and Durable Design: Built for long-term use in demanding industrial environments.

Compact and Easy Installation: Allows seamless integration into various electrical setups.

Reliable Contact Multiplication: Enhances control circuit performance and dependability.

Applications of CGI 14N 75-250VDC Relay

The CGI 14N 75-250VDC Relay is widely used in multiple industries due to its high reliability and efficiency, including:

Power Plants: Assists in relay protection and circuit breaker operations.

Industrial Automation: Enables precise switching in manufacturing processes.

Substations: Supports stable grid management and fault isolation.

Renewable Energy Systems: Facilitates integration in solar and wind energy projects for efficient power control.

Why Choose CGI 14N 75-250VDC Relay from Adlite Electricals?

When it comes to sourcing top-quality electrical protection devices, Adlite Electricals is your trusted provider. Here’s why:

Genuine and Certified Products: Ensuring superior quality and reliability.

Affordable Prices: Get the best value for high-performance electrical components.

Hassle-Free Online Shopping: A seamless purchasing experience with expert support.

Fast and Secure Delivery: Ensuring timely arrival of your relay in perfect condition.

Conclusion

The CGI 14N 75-250VDC Relay is a must-have for industries that require a dependable, high-speed, and durable relay solution. Its wide voltage range and compact design make it ideal for numerous electrical applications.

Order your CGI 14N 75-250VDC Relay today from Adlite Electricals and enhance your system’s efficiency and safety!

Related Products

#CGI 110VDC Master Trip Relay

#CGI 14C 18-52VDC Relay

#CGI 14C 75-250VDC Relay

#CGI 14N 18-52VDC Relay

#CGI 14S 230VAC Relay

#CGI 24C 18-52VDC Relay

#CGI 24C 75-250VDC Relay

#CGXH1 3 Element Aux 110 VDC Relay

#Crompton TCSR Unit 110 VDC Relay

#Megawin M140c Relay

#Megawin MB 140c (Breaker Manager Relay)

[einnosyssecsgem]

Machine learning applications in semiconductor manufacturing

Machine Learning Applications in Semiconductor Manufacturing: Revolutionizing the Industry

The semiconductor industry is the backbone of modern technology, powering everything from smartphones and computers to autonomous vehicles and IoT devices. As the demand for faster, smaller, and more efficient chips grows, semiconductor manufacturers face increasing challenges in maintaining precision, reducing costs, and improving yields. Enter machine learning (ML)—a transformative technology that is revolutionizing semiconductor manufacturing. By leveraging ML, manufacturers can optimize processes, enhance quality control, and accelerate innovation. In this blog post, we’ll explore the key applications of machine learning in semiconductor manufacturing and how it is shaping the future of the industry.

Predictive Maintenance

Semiconductor manufacturing involves highly complex and expensive equipment, such as lithography machines and etchers. Unplanned downtime due to equipment failure can cost millions of dollars and disrupt production schedules. Machine learning enables predictive maintenance by analyzing sensor data from equipment to predict potential failures before they occur.

How It Works: ML algorithms process real-time data from sensors, such as temperature, vibration, and pressure, to identify patterns indicative of wear and tear. By predicting when a component is likely to fail, manufacturers can schedule maintenance proactively, minimizing downtime.

Impact: Predictive maintenance reduces equipment downtime, extends the lifespan of machinery, and lowers maintenance costs.

Defect Detection and Quality Control

Defects in semiconductor wafers can lead to significant yield losses. Traditional defect detection methods rely on manual inspection or rule-based systems, which are time-consuming and prone to errors. Machine learning, particularly computer vision, is transforming defect detection by automating and enhancing the process.

How It Works: ML models are trained on vast datasets of wafer images to identify defects such as scratches, particles, and pattern irregularities. Deep learning algorithms, such as convolutional neural networks (CNNs), excel at detecting even the smallest defects with high accuracy.

Impact: Automated defect detection improves yield rates, reduces waste, and ensures consistent product quality.

Process Optimization

Semiconductor manufacturing involves hundreds of intricate steps, each requiring precise control of parameters such as temperature, pressure, and chemical concentrations. Machine learning optimizes these processes by identifying the optimal settings for maximum efficiency and yield.

How It Works: ML algorithms analyze historical process data to identify correlations between input parameters and output quality. Techniques like reinforcement learning can dynamically adjust process parameters in real-time to achieve the desired outcomes.

Impact: Process optimization reduces material waste, improves yield, and enhances overall production efficiency.

Yield Prediction and Improvement

Yield—the percentage of functional chips produced from a wafer—is a critical metric in semiconductor manufacturing. Low yields can result from various factors, including process variations, equipment malfunctions, and environmental conditions. Machine learning helps predict and improve yields by analyzing complex datasets.

How It Works: ML models analyze data from multiple sources, including process parameters, equipment performance, and environmental conditions, to predict yield outcomes. By identifying the root causes of yield loss, manufacturers can implement targeted improvements.

Impact: Yield prediction enables proactive interventions, leading to higher productivity and profitability.

Supply Chain Optimization

The semiconductor supply chain is highly complex, involving multiple suppliers, manufacturers, and distributors. Delays or disruptions in the supply chain can have a cascading effect on production schedules. Machine learning optimizes supply chain operations by forecasting demand, managing inventory, and identifying potential bottlenecks.

How It Works: ML algorithms analyze historical sales data, market trends, and external factors (e.g., geopolitical events) to predict demand and optimize inventory levels. Predictive analytics also helps identify risks and mitigate disruptions.

Impact: Supply chain optimization reduces costs, minimizes delays, and ensures timely delivery of materials.

Advanced Process Control (APC)

Advanced Process Control (APC) is critical for maintaining consistency and precision in semiconductor manufacturing. Machine learning enhances APC by enabling real-time monitoring and control of manufacturing processes.

How It Works: ML models analyze real-time data from sensors and equipment to detect deviations from desired process parameters. They can automatically adjust settings to maintain optimal conditions, ensuring consistent product quality.

Impact: APC improves process stability, reduces variability, and enhances overall product quality.

Design Optimization

The design of semiconductor devices is becoming increasingly complex as manufacturers strive to pack more functionality into smaller chips. Machine learning accelerates the design process by optimizing chip layouts and predicting performance outcomes.

How It Works: ML algorithms analyze design data to identify patterns and optimize layouts for performance, power efficiency, and manufacturability. Generative design techniques can even create novel chip architectures that meet specific requirements.

Impact: Design optimization reduces time-to-market, lowers development costs, and enables the creation of more advanced chips.

Fault Diagnosis and Root Cause Analysis

When defects or failures occur, identifying the root cause can be challenging due to the complexity of semiconductor manufacturing processes. Machine learning simplifies fault diagnosis by analyzing vast amounts of data to pinpoint the source of problems.

How It Works: ML models analyze data from multiple stages of the manufacturing process to identify correlations between process parameters and defects. Techniques like decision trees and clustering help isolate the root cause of issues.

Impact: Faster fault diagnosis reduces downtime, improves yield, and enhances process reliability.

Energy Efficiency and Sustainability

Semiconductor manufacturing is energy-intensive, with significant environmental impacts. Machine learning helps reduce energy consumption and improve sustainability by optimizing resource usage.

How It Works: ML algorithms analyze energy consumption data to identify inefficiencies and recommend energy-saving measures. For example, they can optimize the operation of HVAC systems and reduce idle time for equipment.

Impact: Energy optimization lowers operational costs and reduces the environmental footprint of semiconductor manufacturing.

Accelerating Research and Development

The semiconductor industry is driven by continuous innovation, with new materials, processes, and technologies being developed regularly. Machine learning accelerates R&D by analyzing experimental data and predicting outcomes.

How It Works: ML models analyze data from experiments to identify promising materials, processes, or designs. They can also simulate the performance of new technologies, reducing the need for physical prototypes.

Impact: Faster R&D cycles enable manufacturers to bring cutting-edge technologies to market more quickly.

Challenges and Future Directions

While machine learning offers immense potential for semiconductor manufacturing, there are challenges to overcome. These include the need for high-quality data, the complexity of integrating ML into existing workflows, and the shortage of skilled professionals. However, as ML technologies continue to evolve, these challenges are being addressed through advancements in data collection, model interpretability, and workforce training.

Looking ahead, the integration of machine learning with other emerging technologies, such as the Internet of Things (IoT) and digital twins, will further enhance its impact on semiconductor manufacturing. By embracing ML, manufacturers can stay competitive in an increasingly demanding and fast-paced industry.

Conclusion

Machine learning is transforming semiconductor manufacturing by enabling predictive maintenance, defect detection, process optimization, and more. As the industry continues to evolve, ML will play an increasingly critical role in driving innovation, improving efficiency, and ensuring sustainability. By harnessing the power of machine learning, semiconductor manufacturers can overcome challenges, reduce costs, and deliver cutting-edge technologies that power the future.

This blog post provides a comprehensive overview of machine learning applications in semiconductor manufacturing. Let me know if you’d like to expand on any specific section or add more details!

[picontrols]

Bridging the Skill Gap with Process Control Simulation Training

"Why is it so hard to find skilled workers for industrial automation?"

"How do we train new employees without risking downtime or safety?"

"Is there a way to upskill our team without pulling them off active projects?" If you've ever asked these questions, you're not alone. The skills gap in industrial sectors—especially in process control and automation—is a growing concern for plant managers, HR teams, and training coordinators. The good news? Process control simulation training is becoming a game-changer. It's not just about learning theory; it's about giving your team hands-on experience in a risk-free, highly realistic environment. In this blog, let's explore how process control simulation training is helping companies bridge the skills gap, boost productivity, and future-proof their workforce.

🔧 What Is Process Control Simulation Training?

Process control simulation training uses software-based tools (and sometimes hardware-integrated systems) to simulate real-world industrial processes, such as chemical reactions, fluid flow, heating systems, or batch operations.

Employees interact with digital twins of systems rather than learning on a live plant or production line (which can be costly and risky). They can also practice controlling variables and troubleshoot simulated failures in a controlled and safe learning space.

��� The Reality of the Skills Gap

Here's the harsh truth: as experienced engineers retire and tech continues to evolve, there's a growing mismatch between what employers need and what job seekers can do.

According to various industry reports:

Over 50% of manufacturers say they struggle to find qualified talent.

Many graduates enter the workforce without practical exposure to control systems, instrumentation, or advanced automation.

On-the-job training often means learning under pressure, which increases risk and slows down productivity.

That's where process control simulation comes in to level the playing field.

💡 Why Simulation Training Works So Well

Let's break it down—why is simulation training such a powerful tool for skill development?

1. Hands-On Without the Risk

Operators and engineers can learn to manage pumps, valves, sensors, and PID controllers without shutting down an actual plant or risking equipment failure.

✅ Outcome: Teams gain confidence and skills faster, without the anxiety of making real-world mistakes.

2. Real-Time Feedback and Learning

Simulation platforms offer instant feedback so learners can see every decision's cause and effect. Did a parameter spike? Was the valve response too slow? The trainee can adjust, repeat, and refine.

✅ Outcome: Faster learning curves and better problem-solving abilities.

3. Customized to Industry Needs

Whether you're in oil and gas, food processing, pharmaceuticals, or energy, process control simulation training can be tailored to match the systems your team uses every day.

✅ Outcome: No more generic training—only relevant, job-specific practice.

4. Supports All Experience Levels

From entry-level technicians to experienced engineers learning new platforms, simulation training fulfills people where they are.

✅ Outcome: Continuous professional development becomes scalable.

🧠 What Skills Are Developed?

Here are just a few areas where process control simulation builds competence:

Instrument calibration

Process variable tuning (temperature, flow, pressure)

PLC and SCADA integration

Alarming and fault detection

Start-up and shutdown procedures

Troubleshooting under abnormal conditions

It also enhances soft skills like decision-making, attention to detail, and collaboration using group-based simulations.

🏭 Real-World Benefits for Companies

Let's not forget the big picture—this isn't just a learning tool. It's a strategic investment.

✔️ Shorter onboarding time for new hires

✔️ Reduced operational downtime from human error

✔️ Higher retention and employee satisfaction

✔️ Stronger compliance with safety regulations

✔️ Better preparedness for automation upgrades

Companies using process control simulation in their training programs are more agile, efficient, and better positioned for growth.

🚀 Getting Started with Simulation Training

Are you ready to close the skills gap in your team? Here's how to begin:

Choose the right platform – 

Look for simulation tools like Simulink, DCS emulators, or virtual PLC trainers.

Assess your team's needs – 

Identify the processes or skills most needing improvement.

Design a structured training path – 

Combine simulations with assessments and guided instruction.

Track progress – 

Use KPIs to measure learning outcomes and improvements over time.

Encourage a culture of learning –

 Make training constant, not just a one-time event.

Final Thoughts

Bridging the skill gap doesn't have to mean expensive hires or risky learning curves. With simulation training in process control, you can quickly, safely, and effectively give your team the necessary skills. As industries evolve, the companies that invest in their people through innovative training tools will be the ones that lead the way. So, if you're ready to turn your team into top-tier operators and problem-solvers, process control simulation might be your best bet. Count on skilled software developers of PiControl Solutions LLC to design and implement tools for process control simulation and train your team.

[emergencyplumbingil]

Smart Sinks and Faucets : What Are They, and Why Do You Need One?

A Happy Customer’s Smart Kitchen Transformation One of our customers in Highland Park recently decided to upgrade their kitchen with a state-of-the-art smart faucet . They wanted a solution that combined modern convenience with eco-friendly features. After reaching out to Emergency Plumbing, they scheduled a quick appointment with one of our licensed plumbers, who immediately got to work. The installation process was seamless. Our professional plumber took the time to answer all the customer’s questions, explaining how the smart sink would reduce water waste and make everyday tasks more convenient.

Why Choose a Smart Faucet?

Smart faucets and sinks are designed to offer both style and practicality. Here’s what makes them a game-changer:

Enhanced Functionality: Touchless controls, built-in water filtration, and temperature sensors make everyday tasks easier and more hygienic.

Eco-Friendly Features: Save water and reduce waste with advanced flow controls.

Modern Aesthetic :A sleek design upgrades the overall look of your kitchen.

Whether you live in Highland Park, Deerfield, Northbrook, or other Northwest suburbs, our team of local licensed plumbers can help you choose and install the perfect smart sink for your needs.

What Makes Emergency Plumbing the Best Choice?

At Emergency Plumbing, we’re proud to serve customers across the North Shore and Northwest suburbs with top-quality service.

Transform Your Kitchen Today.

[apicalindustrialsolution]

"The Crucial Role of Industrial Control Integrators: Driving Efficiency and Innovation in Modern Industry"

The Essential Role of an Industrial Control Integrator in Modern Industry

In today’s fast-paced industrial environment, the expertise of an Industrial Control Integrator has become indispensable. These professionals or companies specialize in designing, implementing, and maintaining complex control systems that are critical for optimizing industrial processes. This blog delves into the pivotal role of an Industrial Control Integrator, explaining their key responsibilities and the impact they have on industrial efficiency.

What is an Industrial Control Integrator?

An Industrial Control Integrator is a specialized expert or firm responsible for creating and managing control systems that automate and regulate industrial machinery and processes. These control systems encompass both hardware and software components, which work together to enhance performance, increase reliability, and streamline operations.

Core Responsibilities of an Industrial Control Integrator

Control System Design and Engineering:

Needs Analysis: The integrator begins with a comprehensive assessment of the client’s specific requirements. This involves understanding their industrial processes and defining the desired outcomes.

Custom System Design: Based on the assessment, the integrator designs a bespoke control system, selecting the appropriate sensors, controllers, and communication protocols to meet the client’s needs.

Integration and Installation:

Hardware Setup: The integrator manages the installation of essential components such as Programmable Logic Controllers (PLCs), Human-Machine Interfaces (HMIs), and other field instruments.

Software Configuration: They also configure the software that governs the control system, ensuring seamless communication between hardware and other operational systems.

Testing and Commissioning:

System Testing: Before full deployment, the integrator conducts rigorous testing to identify and rectify any issues, simulating real-world conditions to verify system performance.

Commissioning: Once testing is complete, the integrator supervises the final commissioning process, making any necessary adjustments to ensure optimal functionality.

Training and Ongoing Support:

Staff Training: Integrators provide training for the client’s personnel, equipping them with the knowledge to operate and maintain the new system effectively.

Continued Support: They offer ongoing maintenance and support services to resolve any issues and ensure the system continues to operate smoothly.

Why Industrial Control Integrators are Vital

Boosting Efficiency:

Industrial Control Integrators streamline processes by automating operations, which reduces manual input and enhances precision. This leads to improved productivity and reduced operational costs.

Enhancing Safety:

Integrators implement advanced control systems that monitor conditions in real time, increasing workplace safety by triggering alarms or shutdowns when necessary.

Ensuring Reliability:

By designing systems with redundancy and fail-safes, integrators help minimize downtime, which is crucial for meeting production targets and maintaining product quality.

Facilitating Scalability:

As businesses expand, their control systems must adapt. Integrators create flexible solutions that can be easily scaled or upgraded to meet growing demands.

Incorporating Emerging Technologies:

With the rise of Industry 4.0, integrating new technologies such as the Internet of Things (IoT), advanced analytics, and Artificial Intelligence (AI) is becoming increasingly important. Control integrators are key to incorporating these innovations into existing systems.

The Future of Industrial Control Integration

The field of industrial control integration is continuously evolving, driven by technological advancements and shifting industry needs. Future trends include:

AI and Machine Learning Integration: Enhancing predictive maintenance and process optimization.

IoT Integration: Enabling more detailed data collection and real-time analytics.

Enhanced Cybersecurity: Addressing the increasing need for robust security measures to protect industrial control systems from cyber threats.

Conclusion

Industrial Control Integrators are essential in ensuring the efficiency, reliability, and safety of modern industrial processes. Their expertise in designing, implementing, and maintaining control systems is crucial for optimizing operations and keeping pace with technological advancements. For businesses looking to upgrade or implement control systems, partnering with a skilled Industrial Control Integrator can be the key to achieving greater efficiency and performance.

[joyandella-123]

Some great advancements come from modern machine controllers

Modern metal fabricating machine controllers have significantly impacted various aspects of the manufacturing process, including workflow, speed, efficiency, accuracy, and manageability. Here's how:

Workflow Improvement: Advanced controllers have software that allows for better planning and sequencing of jobs. This integration can streamline the workflow, reducing the time between design and production. Controllers with advanced user interfaces make it easier for operators to input data, understand machine status, and make quick adjustments, leading to a smoother production process. Operators have a number of options for job entry, such as from a CAD file automatically, manual iinput, or scanning from a paper job sheet.

Increased Speed: Modern controllers have greater speed thanks to improved processing power and algorithms. This allows for faster execution of complex tasks and reduces the cycle time for each part. High-speed processing also enables machines to operate at higher speeds without compromising precision—in fact in many cases, precision is increased along with speed.

Enhanced Efficiency: These controllers often include features that optimize energy use and reduce waste. For example, predictive maintenance capabilities can forecast machine failures before they occur, minimizing downtime. The controller’s software can generate a plan to use multiple stations on a part with multiple bends, for example, allowing the setup to happen in one step instead of many. Or, if a laser cutter is cutting metal plate, it plans the job so that a the laser head moves to different cut areas to allow densely-cut areas to cool before the machine cuts nearby again.

Improved Accuracy: The precision of modern metal fabricating machines has significantly increased with the advent of sophisticated controllers. These systems can precisely control the movement of the machine, leading to higher-quality products with tighter tolerances. Advanced sensors and feedback systems ensure that the machine's performance aligns closely with the programmed specifications, reducing errors.

Better Manageability: Modern controllers are often part of larger networked systems that include data collection and analysis capabilities. This allows for better monitoring and management of the production process. Operators can track machine performance, predict maintenance needs, and optimize production schedules based on real-time data. Additionally, integration with other systems (like ERP or shop planning software) allows for better overall plant management and coordination.

Adaptability and Flexibility: Contemporary controllers enable machines to be more adaptable to different types of jobs. Quick setup changes and easy reprogramming allow for shorter runs of custom or specialized parts, making the production process more flexible to meet diverse customer demands. We live in an age of many short run jobs.

Safety Enhancements: Modern controllers also contribute to safer working environments. They can include safety features that prevent operator error and protect against machine malfunctions. Better precision and control also reduce the likelihood of accidents due to machine errors.

Connectivity and Smart Features: With the advent of Industry 4.0, these controllers are increasingly connected and smart. They can be integrated into a wider industrial network, allowing for remote monitoring and control, predictive maintenance, and enhanced data analytics.

Overall, the impact of modern metal fabricating machine controllers on the manufacturing landscape is profound, leading to more efficient, accurate, and flexible production processes. This technological evolution is a key driver in the industry's ongoing efforts to optimize productivity and quality.

[alienzil]

Nanny Danny

“That is a whole ass baby,” was the only thought running through Lex Luthor’s head when the scientist proudly showed him the tube containing Project KR. It was not remotely the sort of thing he would normally think and most definitely not what he had expected to be thinking the first time he saw the clone.

He’d been pleased when he’d read the reports indicating the success of KR after years of failures. Lex had poured millions of dollars and literally his own blood into ensuring a clone of the alien could be made, one that would be under his total control instead of the unknown aspirations of Superman.  He’d wanted to see the fruits of his labors personally but this…

It. No, not an it. He scrunched his tiny face and smacked his lips and…did he smirk? Was that HIS SMIRK on that baby’s face?! No. No. Babies this small didn’t smile or smirk. They passed gas and their sleep deprived and addled parents mistook it for an intelligent response. He’d heard enough inane conversations in the Lexcorp office about the various progeny of his employees to pick up on that but still. This child had Kryptonian DNA, not to mention his own contribution. Surely, he was far more advanced than the dribbling potato shaped lump of an infant whose pictures he’d been forced to smile and nod over when Mark from accounting had rudely shoved them in his face at the last quarterly budget meeting. Yes, that was definitely a smirk. His, that was his smirk.

“So as you can see its growth is well within expected parameters and we’re planning to start phase one of accelerating the maturation process tomorrow once the testing is do-”

“Take him out.”

“Sir? The testing can all be accomplished while it remains in the tube. There’s no need to-”

“I said, take him out. The project is cancelled.”

“What?! Mr. Luthor you can’t!”

“I think you’ll find I can. Now get me my son.”

*****

Two years later

“Call them again”

“Sir, I’ve called them seven times. They won’t answer.”

“Then call another agency!”

“There isn’t another agency, Sir”

Lex glared at his assistant who stared back at him impassively. Mercy stood by the door staring off into the distance and pretending she didn’t notice him being bested by his own secretary.

He stopped himself from shouting again and took a deep breath before asking, “Then what, exactly, do you propose I do Mrs. Anderson? Adjust my entire schedule around naptimes? Find a toddler size lab coat and safety goggles and bring my son with me to tour the new clean energy project on Thursday? Perhaps buy a tiny business suit while I’m at it for the next board meeting?”

“I’m not suggesting anything of the sort, Mr. Luthor. I’m telling you that no childcare agency in Metropolis will return my calls anymore. Most won’t even answer.  You’ve gone through 27 nannies in the last 3 months. You need someone better suited to your son’s…special needs.”

Lex snorted. “Special needs might be a bit of understatement. He can lift a car over his head and his favorite word right now is No.”

He sighed and rubbed his forehead. “Thank you for…clarifying the situation, Marjorie. If there’s nothing else, you can leave.”

His secretary didn’t move. She looked at him like she was waiting for something and now that he was paying attention, he saw she was holding a file.  “Did you have a suggestion?”

Looking pleased with herself she responded, “Actually, yes, I did.”

“Well?”

She set the file on his desk and flipped it open. He looked down at the first page and raised an eyebrow, “What am I looking at here?”

“This,” she responded pulling out the top set of papers and spreading them out, “is the employee file and background check for Daniel J. Fenton, an intern that started in our engineering department about 4 months ago. He has one sibling, two parents and several close friends he regularly meets with. His current supervisor has nothing but good things to say about him and reports he gets along well with all his coworkers.”

She set out the next set of papers, neatly arranging them on the desk to be easily seen. “These are newspaper articles and screenshots of social media posts regarding a small town vigilante locally known as Phantom. The same small town, Mr. Fenton is from coincidentally. Also coincidentally, Phantom made his first appearance only a few weeks after Mr. Fenton was involved in a minor accident in his parent’s home laboratory when he was 14, the medical records for the incident are included.”

“Hmm,” Lex said observing several photos of Phantom and a younger Fenton arranged in order of similar poses and facial expressions and printed out side by side.

“Finally,” she said handing him the last set of papers directly, “this would be a report from the lab Mr. Fenton works in from an incident that happened yesterday. A test with a new protype went wrong and started a fire. Everyone evacuated per protocol when the alarms went off but one of the other interns was working on a programming issue off to the side of the lab while wearing headphones and didn’t hear the alarm or notice the fire. Mr. Fenton noticed his absence and returned to the lab to get him out.” She stopped talking and let him look at the last several pages in the file, a series of photographs of the lab.

“Is this ice?”

“Yes, it is. It’s several inches thick and covers half of the lab. It completely put out the fire leaving minimal damage.”

“This machine was moved?”

“It was. It was very close to the flames and would have required replacement if exposed to extreme heat or cold. That particular piece of equipment also weighs several thousand pounds and was bolted to the floor.”

Lex read through everything in detail then clasped his hands under his chin and stared at the photo of Daniel Fenton for several moments before turning back to his waiting secretary.

“Have HR send Mr. Fenton up. I’d like to offer him a promotion.”