What They Don't Teach You in Engineering School, livre ebook

Essential reading for any engineering graduate about to enter the workforce, What They Don't Teach You in Engineering School bridges the gap between the classroom and the real world. Based on a lifetime of lessons learned in the field, the author provides practical insights into engineering that are often excluded from a traditional university education. Engineering is as much an art as it is a science, involving continuous learning, management, and planning skills beyond technical and scientific knowledge. This book exposes and equips engineers with a broad array of tools and philosophies to better navigate real-world challenges. Topics include robust design, quality function deployment, and various design tools. This book is organized into sections that discuss design philosophies, management and planning, design tools, and statistical methods, with each chapter intended as a standalone lesson for readers to apply these principles practically and proactively in engineering environments.
Acknowledgments
Preface
1 Introduction
SECTION 1 - DESIGN PHILOSOPHIES
2 Function vs. Technology
3 Understanding the Toyota Paradox
4 The Philosophy Behind Robust Design
5 Robust Design for Systems With Multiple Functions
6 Quality Function Deployment for Assessing Manufacturing
7 Design Input
8 Total Commonization
9 Material Selection or Material Perception
10 Design for Six Sigma
SECTION 2 - MANAGEMENT AND PLANNING
11 Product Engineering Training
12 Implementing Quality Planning With Matrix-Type Teams
13 Integrating Robust Design Into Quality Planning
14 Economic Benefits of Utilizing “Bridge” Tooling
15 The Sales Side of Concurrent Engineering
16 Are You Managing Designs with a Rearview Mirror?
SECTION 3 - DESIGN TOOLS
17 Design for Six Sigma Define
18 Component Integration Using Casting Processes
19 Design for Machinability
20 Designing for Lean Manufacturing
21 Designing for Dynamic Climates
22 Design for Functional Packaging
23 Poka Yoke by Design
24 Specifying Tolerances Based on Value
25 Quality, Not Quantity
SECTION 4 - STATISTICS AND EXPERIMENTATION
26 The Reality of Problem-Solving
27 Effective Simulations
28 Statistical Process Control of Process Data Curves
29 Statistical Process Control for Variables With 2 Degrees of Freedom
30 Case Study Using Robust Design
SECTION 5 - REFLECTION
31 Licensed to Learn
APPENDICES
Appendix A – Guidelines for Technical Writing
Appendix B – Guidelines for Procedure Writing
References
About the Author