An Object Oriented Approach to Design the Gating System for a Casting PDF Download
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Author: Satyanarayana Golla
Publisher:
ISBN:
Category : Casts
Languages : en
Pages : 306
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Book Description
Author: Satyanarayana Golla
Publisher:
ISBN:
Category : Casts
Languages : en
Pages : 306
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Book Description
Author: Dr. Chandan Deep Singh
Publisher: BookRix
ISBN: 3743856239
Category : Technology & Engineering
Languages : en
Pages : 48
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Book Description
Design of a die-casting die is a critical activity for its manufacturing and further downstream activities. Further, in design of a die-casting die, activities like cavity design, cavity layout and design of gating system are essential components. Design of gating system for a die-casting die is dependent upon a number of parameters which are influenced by part design and die-casting alloy. Gating system design takes much time of the die-casting expert since it requires lot of manual input and a number of iterations to finalize the design. This requires a good knowledge of die-casting process, making this activity completely dependent on the user. In modern day industry lot of CAD/CAM tools are being applied for design, development and manufacturing of a die-casting die. However, dependency on a die-casting expert throughout design and manufacturing of die-casting die makes it a quite lengthy process. Gating system design being one of the major activities in die design also takes much time. Therefore, it would be quite beneficial to automate the activity of the gating system design. This work is about computer aided design of gating system for die-casting die. Proposed system takes CAD file of the die-casting part as input and uses die-casting process knowledge to determine different parameters for the gating system. Designs of the components of the gating system like runner, gate and overflow have been attempted. A feature library has been proposed as a part of this work which together with parametric design of the gating system generates CAD model of the components of the gating system. The system has been tested on a number of industrial parts and results found are quite encouraging. The system would go a long way in bridging the gap between designing and manufacturing of die-casting.
Author: Alexandre Reikher
Publisher: Springer Science & Business Media
ISBN: 1846288509
Category : Technology & Engineering
Languages : en
Pages : 183
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Book Description
Die Casting: An Analytical Approach will refresh knowledge of the governing laws of the fluid dynamics that have an effect on die cast die and die cast process design. It will be bought by product designers that design die cast parts and die cast die and process engineers and designers.
Author: J.Y.H. Fuh
Publisher: CRC Press
ISBN: 1482276488
Category : Science
Languages : en
Pages : 392
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Book Description
Examining processes that affect more than 70 percent of consumer products ranging from computers to medical devices and automobiles, this reference presents the latest research in automated plastic injection and die casting mold design and manufacture. It analyzes many industrial examples and methodologies while focusing on the algorithms, implemen
Author: Cornelius T. Leondes
Publisher: World Scientific
ISBN: 9789812796813
Category : Computers
Languages : en
Pages : 264
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Book Description
This is an invaluable five-volume reference on the very broad and highly significant subject of computer aided and integrated manufacturing systems. It is a set of distinctly titled and well-harmonized volumes by leading experts on the international scene. The techniques and technologies used in computer aided and integrated manufacturing systems have produced, and will no doubt continue to produce, major annual improvements in productivity, which is defined as the goods and services produced from each hour of work. This publication deals particularly with more effective utilization of labor and capital, especially information technology systems. Together the five volumes treat comprehensively the major techniques and technologies that are involved. Contents: .: Techniques and Applications of Production Planning in Electronics Manufacturing Systems (J Smed et al.); Economic Optimization of Machining Operations in Computer Aided Manufacturing Systems (J Wang); Computer Techniques and Applications for Real-Time Embedded Control in Mechatronic Systems (M Colnaric & W A Halang); and other articles. Readership: Graduate students, academics, researchers, and industrialists in computer engineering, industrial engineering, mechanical engineering, systems engineering, artificial intelligence and operations management
Author: Cornelius T Leondes
Publisher: World Scientific
ISBN: 9814486256
Category : Technology & Engineering
Languages : en
Pages : 255
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Book Description
This is an invaluable five-volume reference on the very broad and highly significant subject of computer aided and integrated manufacturing systems. It is a set of distinctly titled and well-harmonized volumes by leading experts on the international scene.The techniques and technologies used in computer aided and integrated manufacturing systems have produced, and will no doubt continue to produce, major annual improvements in productivity, which is defined as the goods and services produced from each hour of work. This publication deals particularly with more effective utilization of labor and capital, especially information technology systems. Together the five volumes treat comprehensively the major techniques and technologies that are involved.
Author: Feng Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
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Book Description
Abstract: Casting as a manufacturing process to make complex shapes of metal materials in mass production may experience many different defects such as porosity and incomplete filling. How to improve the casting quality becomes important. Gating/riser system design is critical to improving casting quality. The objective of the research presented in this thesis is to optimize gating/riser systems based on CAD and simulation technology with the goal of improving casting quality such as reducing incomplete filling area, decreasing large porosity and increasing yield. Therefore in the thesis, an optimization framework is presented based on CAD and simulation technology. Given a CAD model of part design and after converted to a casting model, it is the first step to evaluate castability of the casting design. Then the runner and risers are represented parametrically, and CAD models generated by varying parameters can be used in the simulation. After analyzing simulation results, the gating/riser system design is optimized to improve casting quality. In the thesis, one engine block is used to verify the effectiveness of the optimization method. Compared with the initial design, it is found that the optimized casting design can decrease porosity around 18% while the yield increases 16%.
Author: James Rinderle
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 380
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Book Description
Author: Chung-Ru Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
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Book Description
Author: Kalita, Kanak
Publisher: IGI Global
ISBN: 1799872084
Category : Technology & Engineering
Languages : en
Pages : 298
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Book Description
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
