1 answer
Asked
382 views
What is the engineering practical approach/process to design and manufacture an automated machine Are there open source projects that give me the industrial application process??
I am a mechanical engineering intern working on my graduation internship.
Login to comment
1 answer
Updated
Priyanka’s Answer
Designing and manufacturing an automated machine involves a systematic approach that spans several stages. Here’s a detailed engineering practical approach:
1. Requirement Analysis:
Identify Needs: Determine the specific problem the machine will solve.
Specifications: Define the operational, functional, and performance requirements.
Feasibility Study: Assess the technical and economic feasibility.
2. Conceptual Design:
Brainstorming: Generate multiple concepts.
Selection: Use criteria like cost, complexity, and efficiency to select the best concept.
Preliminary Design: Create initial sketches and block diagrams.
3. Detailed Design:
Mechanical Design: Use CAD software to create detailed 3D models and assembly drawings.
Electrical Design: Develop circuit diagrams, control systems, and wiring schematics.
Software Design: Develop control algorithms and user interfaces using appropriate programming languages and platforms.
4. Prototyping:
Build Prototype: Construct a prototype using the detailed design.
Testing: Perform extensive testing to identify and fix issues.
Iteration: Refine the design based on testing feedback.
5. Validation and Verification:
Performance Testing: Ensure the machine meets all specifications.
Compliance: Verify adherence to industry standards and regulations.
User Testing: Gather feedback from end-users.
6. Manufacturing:
Material Selection: Choose appropriate materials for durability and performance.
Production Plan: Develop a detailed production plan including timelines and resources.
Quality Control: Implement quality control processes to ensure consistency and reliability.
7. Deployment:
Installation: Set up the machine at the intended location.
Training: Provide training to operators and maintenance personnel.
Maintenance Plan: Develop a maintenance and support plan.
8. Continuous Improvement:
Feedback Loop: Collect data and feedback for continuous improvement.
Upgrades: Plan and implement upgrades based on technological advancements and user feedback.
Open Source Projects and Resources:
Numerous open source projects and resources can help you understand and implement industrial automation processes. Here are a few notable ones you can check them out and try.
1. OpenPLC Project:
Description: An open-source initiative for Industrial Automation and Process Control.
Resources: Provides software and hardware schematics.
Website: [OpenPLC](https://www.openplcproject.com/)
2. ROS-Industrial:
Description: An extension of the Robot Operating System (ROS) for manufacturing automation.
Resources: Offers libraries, tools, and drivers for industrial robot integration.
Website: [ROS-Industrial](https://rosindustrial.org/)
3. Machinekit:
Description: A platform for machine control applications, including CNC, 3D printing, and robotics.
Resources: Provides software for motion control and machine automation.
Website: [Machinekit](http://www.machinekit.io/)
4. RepRap Project:
Description: A project aimed at creating self-replicating 3D printers.
Resources: Offers detailed instructions and software for building 3D printers.
Website: [RepRap](https://reprap.org/)
5. Arduino:
Description: Open-source electronics platform based on easy-to-use hardware and software.
Resources: Extensive library of projects and tutorials for automation applications.
Website: [Arduino](https://www.arduino.cc/)
6. GitHub Repositories:
Description: A vast repository of open-source projects related to automation and robotics.
Example Repositories:
Open Source Industrial Automation: [GitHub Repository](https://github.com/topics/industrial-automation)
Robotics Projects: [GitHub Repository](https://github.com/topics/robotics)
1. Requirement Analysis:
Identify Needs: Determine the specific problem the machine will solve.
Specifications: Define the operational, functional, and performance requirements.
Feasibility Study: Assess the technical and economic feasibility.
2. Conceptual Design:
Brainstorming: Generate multiple concepts.
Selection: Use criteria like cost, complexity, and efficiency to select the best concept.
Preliminary Design: Create initial sketches and block diagrams.
3. Detailed Design:
Mechanical Design: Use CAD software to create detailed 3D models and assembly drawings.
Electrical Design: Develop circuit diagrams, control systems, and wiring schematics.
Software Design: Develop control algorithms and user interfaces using appropriate programming languages and platforms.
4. Prototyping:
Build Prototype: Construct a prototype using the detailed design.
Testing: Perform extensive testing to identify and fix issues.
Iteration: Refine the design based on testing feedback.
5. Validation and Verification:
Performance Testing: Ensure the machine meets all specifications.
Compliance: Verify adherence to industry standards and regulations.
User Testing: Gather feedback from end-users.
6. Manufacturing:
Material Selection: Choose appropriate materials for durability and performance.
Production Plan: Develop a detailed production plan including timelines and resources.
Quality Control: Implement quality control processes to ensure consistency and reliability.
7. Deployment:
Installation: Set up the machine at the intended location.
Training: Provide training to operators and maintenance personnel.
Maintenance Plan: Develop a maintenance and support plan.
8. Continuous Improvement:
Feedback Loop: Collect data and feedback for continuous improvement.
Upgrades: Plan and implement upgrades based on technological advancements and user feedback.
Open Source Projects and Resources:
Numerous open source projects and resources can help you understand and implement industrial automation processes. Here are a few notable ones you can check them out and try.
1. OpenPLC Project:
Description: An open-source initiative for Industrial Automation and Process Control.
Resources: Provides software and hardware schematics.
Website: [OpenPLC](https://www.openplcproject.com/)
2. ROS-Industrial:
Description: An extension of the Robot Operating System (ROS) for manufacturing automation.
Resources: Offers libraries, tools, and drivers for industrial robot integration.
Website: [ROS-Industrial](https://rosindustrial.org/)
3. Machinekit:
Description: A platform for machine control applications, including CNC, 3D printing, and robotics.
Resources: Provides software for motion control and machine automation.
Website: [Machinekit](http://www.machinekit.io/)
4. RepRap Project:
Description: A project aimed at creating self-replicating 3D printers.
Resources: Offers detailed instructions and software for building 3D printers.
Website: [RepRap](https://reprap.org/)
5. Arduino:
Description: Open-source electronics platform based on easy-to-use hardware and software.
Resources: Extensive library of projects and tutorials for automation applications.
Website: [Arduino](https://www.arduino.cc/)
6. GitHub Repositories:
Description: A vast repository of open-source projects related to automation and robotics.
Example Repositories:
Open Source Industrial Automation: [GitHub Repository](https://github.com/topics/industrial-automation)
Robotics Projects: [GitHub Repository](https://github.com/topics/robotics)
Thanks Priyanka
Your instructions are well organised and specific.
Thanks for your time
Samir