1 / 23

Robotics in Information Technology: The Engineering Process

Explore the engineering process and design methods used in robotics, with a focus on problem definition, conceptual design, and finding feasible solutions.

ebirney
Télécharger la présentation

Robotics in Information Technology: The Engineering Process

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Silicon Prairie Initiative on Robotics in Information Technology The Engineering Process

  2. References • Definition of the Engineering Method; Billy Vaughn Koen; American Society for Engineering Education; 1985; ISBN: 0-87823-101-3 • Discussion of The Method; Billy Vaughn Koen; Oxford University Press; 2003; ISBN: 0-19-515599-8 • Strategies for Creative Problem Solving; H. Scot Fogler and Steven E. LeBlanc; Prentice-Hall; 1995; ISBN: 0-13-179318-7

  3. Engineers and Scientists • Science and mathematics is about understanding and describing the world. • Engineering is about using this understanding to create new objects and devices for the practical benefit of humans and society. • Science uses the “scientific method” • Engineering uses the “design process”

  4. Engineers and Scientists • The Scientific Method • Observe some aspect of the universe • Formulate a hypothesis consistent with observation • Use the hypothesis to make predictions • Test the predictions with experiments • Modify the hypothesis in light of results • Repeat testing until no discrepancies between theory and experiment

  5. Engineers and Scientists • Engineering Design Process • Identify the problem or design objective • Define goals and identify constraints • Research and gather information • Create potential solutions • Analyze the viability of the solutions • Choose the most appropriate solution • Implement the solution • Test and evaluate the design • Repeat ALL steps as necessary

  6. Heuristics • A heuristic is anything that provides a plausible aid or direction in the solution of a problem. • Heuristics are usually unjustified and potentially fallible. • Engineering design is the use of heuristics. • Heuristics are used to cause the best change in a poorly understood situation within the available resources.

  7. Engineering Design Process

  8. Problem Definition 1. Clarify objectives 2. Establish user requirements 3. Identify constraints 4. Establish functions Client Statement (Need) Conceptual Design 5. Establish design specifications 6. Generate alternatives Design Process Preliminary Design 7. Model or analyze design 8. Test and evaluate design Detailed Design 9. Refine and optimize design Final Design (Fabrication Specs & Documentation) Design Communication 10. Document design

  9. Convergent (left brain) and Divergent (right brain) Thinking

  10. Methods Objective Tree Pairwise Comparison Chart Weighted Objectives Tree Function-Means Tree Functional Analysis Requirements Matrix Means Literature Review Brainstorming User Surveys and Questionnaires Structured Interviews Problem Definition

  11. Building an Objectives Tree

  12. Building an Objectives Tree

  13. Functional Analysis • What does the design DO? • What functions must be performed to realize the objectives? • Put the language of the client and users into the language of the engineer. • Put things into terminology that helps to find ways to meet objectives. • Use terminology that can be used to measure how well the objectives have been met.

  14. What are Functions? • A relationship between independent variables (inputs) and response or dependent variables. (outputs) • Mathematics: • Business Management Theory: Transformation function

  15. Black and Glass Boxes • Like the mathematical and management models - relate the inputs to the outputs • All ins and outs must be specified • What happens to each input? • Where does the output come from? • Remove the cover to see what's going on inside. Black Box

  16. Black Box of a Radio

  17. Radio Glass Box(the cover has been removed)

  18. Function-Means Tree • A graphical representation of the design's basic and secondary functions • Alternating levels of function and means • Begins the process of association of what must be done and how we might do it. • Can be used to separate and sort secondary functions associated with the design.

  19. Heuristics • A heuristic is anything that provides a plausible aid or direction in the solution of a problem. • Heuristics are usually unjustified and potentially fallible. • Engineering design is the use of heuristics. • Heuristics are used to cause the best change in a poorly understood situation within the available resources.

  20. Conceptual Design: Finding a Feasible Concept. • Break down the overall problem into subproblems. • Find solutions to each subproblem • Combine the subproblem solutions. • The aim is to start with the project definition and generate as many ways as possible of solving the problem. • Then select the most promising ideas that meet the design specification.

  21. Methods Performance Specification Method Quality Function Deployment (QFD) Morphological Chart Means Brainstorming Synectics and Analogies Benchmarking Reverse Engineering (Dissection) Conceptual Design

  22. Convergent (left brain) and Divergent (right brain) Thinking

More Related