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Author: Mohd Amiruzamin Mohd Shaufi
Publisher:
ISBN:
Category : Sheet-metal work
Languages : en
Pages : 44
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Book Description
Sheet metal is one of the most important semi finished products used in the steel industry, and sheet metal forming technology is therefore an important engineering discipline within the area of mechanical engineering. The development of new sheet metal forming processes, tooling and so on has up till now to a large extent been based on experience, rules of thumb and trial-error experiments without or with only little use of scientifically based engineering methods. As mentioned above, experience is not enough, and trial-error experiments are very expensive with regard to both money and time. There is therefore great need for the development of both theoretical and experimental engineering methods. In this case, Taguchi method was selected to design of experiment using the statistica software version 7 which enables the problems to be tackled effectively; the punching process has been chosen to form the sheet metal. The objective of the project is to determine the optimize parameters. The parameters to be considered in this study are punching tonnage, the sheet thickness, the sheet length and the sheet width.
Author: Mohd Amiruzamin Mohd Shaufi
Publisher:
ISBN:
Category : Sheet-metal work
Languages : en
Pages : 44
Get Book Here
Book Description
Sheet metal is one of the most important semi finished products used in the steel industry, and sheet metal forming technology is therefore an important engineering discipline within the area of mechanical engineering. The development of new sheet metal forming processes, tooling and so on has up till now to a large extent been based on experience, rules of thumb and trial-error experiments without or with only little use of scientifically based engineering methods. As mentioned above, experience is not enough, and trial-error experiments are very expensive with regard to both money and time. There is therefore great need for the development of both theoretical and experimental engineering methods. In this case, Taguchi method was selected to design of experiment using the statistica software version 7 which enables the problems to be tackled effectively; the punching process has been chosen to form the sheet metal. The objective of the project is to determine the optimize parameters. The parameters to be considered in this study are punching tonnage, the sheet thickness, the sheet length and the sheet width.
Author: Ganesh M. Kakandikar
Publisher: CRC Press
ISBN: 1351652184
Category : Technology & Engineering
Languages : en
Pages : 239
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Book Description
Automotive and aerospace components, utensils, and many other products are manufactured by a forming/drawing process on press machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing process. This book offers the readers with application and suitability of various evolutionary, swarm, and bio-inspired optimization algorithms for sheet metal forming processes. Book initiates by presenting basics of metal forming, formability followed by discussion of process parameters in detail, prominent modes of failure, basics of optimization and various bioinspired approaches followed by optimization studies on various industrial components applying bioinspired optimization algorithms. Key Features: • Focus on description of basic investigation of metal forming, as well as evolutionary optimization • Presentation of innovative optimization methodologies to close the gap between those formulations and industrial problems, aimed at industrial professionals • Includes mathematical modeling of drawing/forming process • Discusses key performance parameters, such as Thinning, Fracture, and Wrinkling • Includes both numerical and experimental analysis
Author: Sandip Kunar
Publisher: CRC Press
ISBN: 1040040721
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
Optimization for advanced manufacturing processes in fabrication is becoming increasingly important around the world across a range of industries because of its improved productivity, capabilities, efficacy, and sustainability characteristics. This new book explains how to optimize various industrial systems and processes utilizing new significant statistical and evolutionary methodologies. Statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization are covered here, with relevant theoretical details, salient characteristics, implementation processes, effectiveness studies, and results in manufacturing. The chapters present a variety of advanced manufacturing processes and optimization techniques. Processes are described with basic explanations, characteristics, and applications in various technological and biomedical domains. The chapters address the processes prediction of mechanical properties, design and development of tools, impact of power supply, increasing machining precision and efficiency, genetic algorithm optimization, additive manufacturing, and much more. Providing a comprehensive study of advanced manufacturing processes, this volume is a valuable reference for engineers and R&D researchers involved in optimization for advanced manufacturing processes as well as for academics and postgraduate-level students in mechanical engineering, manufacturing engineering, and machining processes.
Author: Amrut Mulay
Publisher: CRC Press
ISBN: 1040027318
Category : Technology & Engineering
Languages : en
Pages : 371
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Book Description
Analysis and Optimization of Sheet Metal Forming Processes comprehensively covers sheet metal forming, from choosing materials, tools and the forming method to optimising the entire process through finite element analysis and computer-aided engineering. Beginning with an introduction to sheet metal forming, the book provides a guide to the various techniques used within the industry. It provides a discussion of sheet metal properties relevant to forming processes, such as ductility, formability, and strength, and analyses how materials should be selected with factors including material properties, cost, and availability. Forming processes including shearing, bending, deep drawing, and stamping are also discussed, along with tools such as dies, punches, and moulds. Simulation and modelling are key to optimising the sheet metal forming process, including finite element analysis and computer-aided engineering. Other topics included are quality control, design, industry applications, and future trends. The book will be of interest to students and professionals working in the field of sheet metal and metal forming, materials science, mechanical engineering, and metallurgy.
Author: Benny Endelt
Publisher:
ISBN: 9788791200182
Category :
Languages : en
Pages : 228
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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.
Author: Ganesh M. Kakandikar
Publisher: CRC Press
ISBN: 149879615X
Category : Science
Languages : en
Pages : 248
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Book Description
Automotive and aerospace components, utensils, and many other products are manufactured by a forming/drawing process on press machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing process. This book offers the readers with application and suitability of various evolutionary, swarm, and bio-inspired optimization algorithms for sheet metal forming processes. Book initiates by presenting basics of metal forming, formability followed by discussion of process parameters in detail, prominent modes of failure, basics of optimization and various bioinspired approaches followed by optimization studies on various industrial components applying bioinspired optimization algorithms. Key Features: • Focus on description of basic investigation of metal forming, as well as evolutionary optimization • Presentation of innovative optimization methodologies to close the gap between those formulations and industrial problems, aimed at industrial professionals • Includes mathematical modeling of drawing/forming process • Discusses key performance parameters, such as Thinning, Fracture, and Wrinkling • Includes both numerical and experimental analysis
Author: Zeeshan Azmat
Publisher: LAP Lambert Academic Publishing
ISBN: 9783838344843
Category :
Languages : en
Pages : 92
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Book Description
Numerical simulations of sheet metal forming process based on finite element method (FEM) is widely applied for its powerful capability in forming process prediction. Since there are parameters which could affect the result of forming process, it becomes important to approach a set of parameters to improve the formability. In the present work, first, a comprehensive literature review was made for different optimization methodologies in sheet metal forming process. Then we proposed an optimization methodology using Response Surface methodology (RSM) and Genetic Algorithm (GA) for the optimization of sheet metal forming process, and the theory of RSM and GA are illustrated. The presented method was first applied to an example from literature, the results verified the feasibility of the proposed methodology. Then the methodology was applied to variable binder force optimization of the NUMISHEET 93 2D draw bending problem. The work indicated that the proposed optimization methodology is efficient and universal, which means it can also be applied in other applications of aerospace industry.
Author: Salah Basheer M. Echrif
Publisher:
ISBN:
Category : Metal-work
Languages : en
Pages : 368
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Book Description
In this thesis, the main focus was on development and enhancement of a non conventional metal forming process called dieless forming or incremental sheet forming that needs further investigations. Incremental sheet forming (ISF) is an emerging metal-forming technology in which the tool motion is controlled numerically. A review of the present state-of-the-art technologies and the potential applications of incremental sheet metal forming are presented to address the approaches and methods that are prevalently applied and to be a guide to identify inadequacies of the current approaches and potential for valuable contributions. Before conducting the experiments, numerical simulation was done to test the capabilities and limitations of the finite element method at simulating the ISF process. The numerical simulations were carried out with regard to the overstretching in depth phenomena, the forming strategy and the evolution of temperature during the process. ISF is complex due to the number of variables involved. Thus, it is not possible to consider that the process has been well assessed; several remaining aspects need to be clarified. Therefore, the effects of some relevant process parameters on thickness and surface roughness variation have been studied experimentally and statistically in order to optimize and enhance the process quality. In terms of sheet thickness, several forming passes were investigated, which has not been done before, by using Taguchi method. It was found according to the characteristic parameters that part slope plays a great role. In terms of surface roughness, investigations have shown that the most important factors influencing the surface roughness are the tool size and the step size. These two studies have led to the derivation of two predictive models that could be used to estimate the final quality of the formed part in terms of thickness distribution and surface roughness, respectively. Furthermore, a new forming strategy was developed to enable ISF to form a cylindrical cup with a higher depth like in deep drawing. In this research, a cup with height more than half of its diameter has been formed. In the conventional processes, temperature is a significant factor while forming. Thus, heat and maximum temperature were investigated in every ISF forming step in order to compare it to the conventional forming processes by using infrared/thermo-graphic camera. It was found that the temperature effect could be neglected due to the very low temperature values measured during the process. The numerical results in terms of sheet thickness distribution and temperature were in close agreement with the experimental results. Thus, the developed simulation module can be used as a design tool which can save time and cost when making prototypes using ISF.
Author: Kakandikar Ganesh Marotrao
Publisher: CRC Press
ISBN: 1000615049
Category : Science
Languages : en
Pages : 248
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Book Description
Metal forming processes include bulk forming and sheet metal forming with numerous applications. This book covers some of the latest developments aspects of these processes such as numerical simulations to achieve optimum combinations and to get insight into process capability. Implementation of new technologies to improve performance based on Computer Numerical Control (CNC) technologies are also discussed, including the use of CAD/CAM/CAE techniques to enhance precision in manufacturing. Applications of AI/ML, the Internet of Things (IoT), and the role of tribological aspects in green engineering are included to suit Industry 4.0. Features: Covers latest developments in various sheet metal forming processes Discusses improvements in numerical simulation with various material models Proposes improvements by optimum combination of process parameters Includes finite element simulation of processes and formability Presents a review on techniques to produce ultra-fine-grained materials This book is aimed at graduate students, engineers, and researchers in sheet metal forming, materials processing and their applications, finite element analysis, manufacturing, and production engineering.
