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2018 | Book

Introduction Read chapter Read first chapter

Turbine Blade Investment Casting Die Technology

Authors: Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan

Publisher: Springer Berlin Heidelberg

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik"

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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
Chapter 1. Introduction
Abstract
Aero-engine, as the component of the propulsion system for an aircraft that generates mechanical power, is regarded as the heart of an aircraft [1]. With the development of aircraft power technology and the demands for national defense, the aero-engine has to meet the requirements of the new generation of aircraft, such as high speed, high altitude, long flight time, long distance, and high thrust-to-weight ratio.
Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Chapter 2. Digitized Modeling Technology of Turbine Blade
Abstract
The digitized modeling technology of turbine blade is input data of turbine blade casting mold. Due to the complexity of the turbine blade structure, it is much difficult to model the 3D parametric directly as a whole structure. The digitized modeling technology of turbine blade is input data of turbine blade casting mold. Due to the complexity of the turbine blade structure, it is much difficult to model the 3D parametric directly as a whole structure. The problem can be simplified by adopting structure decomposition, building, respectively, corresponding features of the decomposing structures and combining them with Boolean operations. The classification of blade structural features and the parametric modeling of structural features are introduced in this chapter.
Dinghua Zhang, Wenhu Wang, Kun Bu, Yunyong Cheng
Chapter 3. Cavity Design Method for Investment Casting Die of Turbine Blade
Abstract
As one of the main contents of die structure design, cavity design for investment casting die of turbine blade consists the following steps: (1) Design the blank model by adding machining allowance on the part model of turbine blade. (2) Design the process model by adding process structure on the blank model. (3) Design the cavity model by considering the shrinkage of wax and alloy. (4) Design the block of cavity model. (5) Establish the parting directions and parting lines based on the structural feature of cavity model. (6) Design the parting surfaces and generate die pieces. The design flow is shown in Fig. 3.1.
Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Chapter 4. Design of the Die Base for the Investment Casting Turbine Blade
Abstract
The structural design of investment casting die for turbine blade includes two parts: one is the structural design of the die cavity including all internal modeling die pieces; the other is the structural design of the die base including all external structural die pieces. The former one is discussed in the last chapter, and this chapter will focus on the later one. In the traditional design process, die bases with similar structure need to be modeled manually, which wastes lot of time and energy, and limits the design efficiency and cost.
Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Chapter 5. Deformation Simulation of Investment Casting and Die Cavity Optimization of Turbine Blade
Abstract
In order to ensure the size and precision of investment casting turbine blade, it is necessary to take shrinkage compensation of castings into consideration while designing the die cavity model. Traditionally, the method of uniformity compensation is adopted, that is, applying the same shrinkage ratio on any part of the blade; assuming that the only decisive factor of shrinkage ratio is blade alloy material. In fact, due to the different blade cooling rate of each part, the shrinkage deformation is different; and it is closely related to the section size, constraint condition and casting process.
Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Chapter 6. The Manufacturing and Finalization of the Turbine Blade Investment Casting Die
Abstract
With the rapid development of modern manufacturing industry, die molding technology has become an important part of the manufacturing field.
Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Chapter 7. Turbine Blade Investment Casting Experiment and Measurement Evaluation
Abstract
When the design of investment casting die of the turbine blade is done, it is essential to conduct an investment casting test and an inspection and evaluation of the turbine blade. The result of the series of data analysis would decide whether the design of the die should be finalized. The application of the digital detection instruments like Coordinate Measuring Machine (CMM), the optical scanners and the Computerized Tomography (CT), provides more efficient methods to conduct turbine blades inspection. The data of the inspection and evaluation of the blades plays a supportive role for the finalization of the investment casting die.
Dinghua Zhang, Yunyong Cheng, Ruisong Jiang, Neng Wan
Metadata
Title
Turbine Blade Investment Casting Die Technology
Authors
Dinghua Zhang
Yunyong Cheng
Ruisong Jiang
Neng Wan
Copyright Year
2018
Publisher
Springer Berlin Heidelberg
Electronic ISBN
978-3-662-54188-3
Print ISBN
978-3-662-54186-9
DOI
https://doi.org/10.1007/978-3-662-54188-3

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