
A computer-aided approach for gating system design for multi-cavity dies
Rohit Kumar(Author)
GRIN Verlag
1st Edition
Published on 6. October 2017
91 pages
978-3-668-54272-3 (ISBN)
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Master's Thesis from the year 2017 in the subject Engineering - Mechanical Engineering, grade: 8, , language: English, abstract: This work presents a system that would help in automatic design of multi-gates for multi-cavities dies. The system is able to automate: (i) the determination of the placement of gate, and (ii) determination of the shape of gate for die-casting parts having simple shapes. The system has to be implemented in GUI of MATLAB 7.10 using the best industry practices and recommendations from NADCA for gating-system design. The proposed system is able to generate parameters of multi-cavity gating-system for parts requiring multi-gates from the part model data. The other information required for working of the system includes material properties, die-casting process parameters and die-casting casting machine parameters which comes under the data initialization process. The parameters of the gating-system which are determined by the system are used for design of gating-system for the multi-cavity dies. This is done by updating the parameters of pre-modeled gating-system features stored as feature library. Chapter 3 , 4 and 5 present the various modules of the system along with its implementation on case-study parts. The results from the case-studies are quite encouraging and are in-line with the best industry practices.
The present work describes a novel methodology for computer-aided automatic placement of the gating system for a die-casting part. it uses the parting line information to identify the probable positions for the placement of the gating system. This aspect of die-design has not received due attention of the researchers in the past. Moreover, the automated gating-system design for die-casting parts that require multiple agates in a multi-cavity die has not been attempted. Both these features provide the originality to the present work.
More details
Edition
1. Auflage
Language
English
Place of publication
München
Germany
File size
2,57 MB
ISBN-13
978-3-668-54272-3 (9783668542723)
Schweitzer Classification
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Book
10/2017
1st Edition
GRIN Verlag
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