Product Manufacturing and Cost Estimating using CAD/CAE

The Computer Aided Engineering Design Series

Kuang-Hua Chang

• Publisher: Academic Press
• Year: 2013
• ISBN:
  9780124046009
• Topic: Technology & Engineering
• Subtopic: Mechanical Engineering
• Index: Technology & Engineering

This is the second part of a four part series that covers discussion of computer design tools throughout the design process. Through this book, the reader will...

• ...understand basic design principles and all digital design paradigms.
• ...understand CAD/CAE/CAM tools available for various design related tasks.
• ...understand how to put an integrated system together to conduct All Digital Design (ADD).
• ...understand industrial practices in employing ADD and tools for product development.

• Provides a comprehensive and thorough coverage of essential elements for product manufacturing and cost estimating using the computer aided engineering paradigm
• Covers CAD/CAE in virtual manufacturing, tool path generation, rapid prototyping, and cost estimating; each chapter includes both analytical methods and computer-aided design methods, reflecting the use of modern computational tools in engineering design and practice
• A case study and tutorial example at the end of each chapter provides hands-on practice in implementing off-the-shelf computer design tools
• Provides two projects at the end of the book showing the use of Pro/ENGINEER® and SolidWorks® to implement concepts discussed in the book

Chapter 1

Introduction to e-Design

Chapter Outline

1.1 Introduction

1.2 The e-Design Paradigm

1.3 Virtual Prototyping

1.3.1 Parameterized CAD Product Model

Parameterized Product Model

Analysis Models

Motion Simulation Models

1.3.2 Product Performance Analysis

Motion Analysis

Structural Analysis

Fatigue and Fracture Analysis

Product Reliability Evaluations

1.3.3 Product Virtual Manufacturing

1.3.4 Tool Integration

1.3.5 Design Decision Making

Design Problem Formulation

Design Sensitivity Analysis

Parametric Study

Design Trade-Off Analysis

What-If Study

1.4 Physical Prototyping

1.4.1 Rapid Prototyping

1.4.2 CNC Machining

1.5 Example: Simple Airplane Engine

System-Level Design

Component-Level Design

Design Trade-Off

Rapid Prototyping

1.6 Example: High-Mobility Multipurpose Wheeled Vehicle

Hierarchical Product Model

Preliminary Design

Detail Design

Design Trade-Off

1.7 Summary

Questions and Exercises

References

Sources

Conventional product development employs a design-build-test philosophy. The sequentially executed development process often results in prolonged lead times and elevated product costs. The proposed e-Design paradigm employs IT-enabled technology for product design, including virtual prototyping (VP) to support a cross-functional team in analyzing product performance, reliability, and manufacturing costs early in product development, and in making quantitative trade-offs for design decision making. Physical prototypes of the product design are then produced using the rapid prototyping (RP) technique and computer numerical control (CNC) to support design verification and functional prototyping, respectively.

e-Design holds potential for shortening the overall product development cycle, improving product quality, and reducing product costs. It offers three concepts and methods for product development:

• Bringing product performance, quality, and manufacturing costs together early in design for consideration.

• Supporting design decision making based on quantitative product performance data.

• Incorporating physical prototyping techniques to support design verification and functional prototyping.

1.1 Introduction

A conventional product development process that is usually conducted sequentially suffers the problem of the design paradox (Ullman 1992). This refers to the dichotomy or mismatch between the design engineer’s knowledge about the product and the number of decisions to be made (flexibility) throughout the product development cycle (see Figure 1.1). Major design decisions are usually made in the early design stage when the product is not very well understood. Consequently, engineering changes are frequently requested in later product development stages, when product design evolves and is better understood, to correct decisions made earlier.

FIGURE 1.1 The design paradox.

Conventional product development is a design-build-test process. Product performance and reliability assessments depend heavily on physical tests, which involve fabricating functional prototypes of the product and usually lengthy and expensive physical tests. Fabricating prototypes usually involves manufacturing process planning and fixtures and tooling for a very small amount of production. The process can be expensive and lengthy, especially when a design change is requested to correct problems found in physical tests.

In conventional product development, design and manufacturing tend to be disjoint. Often, manufacturability of a product is not considered in design. Manufacturing issues usually appear when the design is finalized and tests are completed. Design defects related to manufacturing in process planning or production are usually found too late to be corrected. Consequently, more manufacturing procedures are necessary for production, resulting in elevated product cost.

With this highly structured and sequential process, the product development cycle tends to be extended, cost is elevated, and product quality is often compromised to avoid further delay. Costs and the number of engineering change requests (ECRs) throughout the product development cycle are often proportional according to the pattern shown in Figure 1.2. It is reported that only 8% of the total product budget is spent for design; however, in the early stage, design determines 80% of the lifetime cost of the product (Anderson 1990). Realistically, today’s industries will not survive worldwide competition unless they introduce new products of better quality, at lower cost, and with shorter lead times. Many approaches and concepts have been proposed over the years, all with a common goal—to shorten the product development cycle, improve product quality, and reduce product cost.

FIGURE 1.2 Cost/ECR versus time in a conventional design cycle.

A number of proposed approaches are along the lines of virtual prototyping (Lee 1999), which is a simulation-based method that helps engineers understand product behavior and make design decisions in a virtual environment. The virtual environment is a computational framework in which the geometric and physical properties of products are accurately simulated and represented. A number of successful virtual prototypes have been reported, such as Boeing’s 777 jetliner, General Motors’ locomotive engine, Chrysler’s automotive interior design, and the Stockholm Metro’s Car 2000 (Lee 1999). In addition to virtual prototyping, the concurrent engineering (CE) concept and methodology have been studied and developed with emphasis on subjects such as product life cycle design, design for X-abilities (DFX), integrated product and process development (IPPD), and Six Sigma (Prasad 1996).

Although significant research has been conducted in improving the product development process, and successful stories have been reported, industry at large is not taking advantage of new product development paradigms. The main reason is that small and mid-size companies cannot afford to develop an in-house computer tool environment like those of Boeing and the Big-Three automakers. On the other hand, commercial software tools are not tailored to meet the specific needs of individual companies; they often lack proper engineering capabilities to support specific product development needs, and most of them are not properly integrated. Therefore, companies are using commercial tools to support segments of their product development without employing the new design paradigms to their full advantage.

The e-Design paradigm does not supersede any of the approaches discussed. Rather, it is simply a realization of concurrent engineering through virtual and physical prototyping with a systema...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Dedications
• Preface
• About the Author
• About the Cover
• Acknowledgements
• Chapter 1. Introduction to e-Design
• Chapter 2. Virtual Machining
• Chapter 3. Toolpath Generation
• Chapter 4. Sheet Metal Forming Simulation
• Chapter 5. Rapid Prototyping
• Chapter 6. Product Cost Estimating
• Project S4: Machining Simulation Using CAMWorks
• Project P4: Machining Simulation Using Pro/MFG
• Project M4: Machining Simulation Using Mastercam
• Index