Skip to main content
main-content

About this book

Focusing on the theory and techniques of digital design and manufacturing for turbine blade investment casting, this book systematically summarizes the advances in applications in this field. It describes advanced digital design theory and methods and provides practical technical references for investment casting die design and manufacturing. The theories, methods and cases presented here are largely derived from the author’s practical engineering experience and the research he and his team have carried out since the 1990s. It includes academic papers, technical reports and patent literature, and provides a valuable guide to engineers involved in the die-design process.

Given its comprehensive coverage, the book makes a significant contribution to investment-casting die design and aero-engine blade manufacturing, while at the same time promoting the development of aero-engine manufacturing technologies

Table of Contents

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 1. Introduction

Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan

2018 | OriginalPaper | Chapter

Chapter 2. Digitized Modeling Technology of Turbine Blade

Dinghua Zhang, Wenhu Wang, Kun Bu, Yunyong Cheng

2018 | OriginalPaper | Chapter

Chapter 3. Cavity Design Method for Investment Casting Die of Turbine Blade

Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan

2018 | OriginalPaper | Chapter

Chapter 4. Design of the Die Base for the Investment Casting Turbine Blade

Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan

2018 | OriginalPaper | Chapter

Chapter 5. Deformation Simulation of Investment Casting and Die Cavity Optimization of Turbine Blade

Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan

2018 | OriginalPaper | Chapter

Chapter 6. The Manufacturing and Finalization of the Turbine Blade Investment Casting Die

Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan

2018 | OriginalPaper | Chapter

Chapter 7. Turbine Blade Investment Casting Experiment and Measurement Evaluation

Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Additional information

Premium Partner

BorgWarnerdSpaceFEVWatlowHBMAnsysValeo Logo

Whitepaper