Download or read book The Optimization of Machining Parameters for Milling Operations by Using the Nelder Mead Simplex Method written by and published by . This book was released on 2019 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machining operations need to be optimized to maximize profit for computer numerical control (CNC) machines. Although minimum production time could mean high productivity, it can not guarantee maximum profit rate in CNC milling operations. The possible range of machining parameters is limited by several constraints, such as maximum machine power, surface finish requirements, and maximum cutting force for the stability of milling operations. Among CNC machining parameters, cutting speed and feed have the greatest effect on machining operations. Therefore, cutting speed and feed are considered as main process variables to maximize the profit rate of CNC milling operations. A variety of numerical methods are used to optimize the machining process, such as the genetic algorithm, tabu search method, and ant colony algorithm. In CNC milling operations, an objective function proposed by Tolouei and Bidhendi was used to estimate the profit rate. Tolouei and Bidhendi used the method of feasible direction to maximize the profit rate of CNC milling processes. In this research, the Nelder-Mead simplex method will be tried to maximize the profit rate of CNC milling processes. The Nelder-Mead simplex method was selected to find an optimum value because it can be used when the derivative of a function is unpredictable due to nonlinearity. As such, this method is suitable for problems of statistical estimation.
Download or read book Design Optimization for a CNC Machine written by and published by . This book was released on 2018 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: Minimizing cost and optimization of nonlinear problems are important for industries in order to be competitive. The need of optimization strategies provides significant benefits for companies when providing quotes out for products. Accurate and easily attained estimates allow for less waste, tighter tolerances, and better productivity. The Nelder-Mead Simplex method with exterior penalty functions was employed to solve optimum machining parameters. Two case studies were presented for optimizing cost and time for a multiple tools scenario. In this study, the optimum machining parameters for milling operations were investigated. Cutting speed and feed rate are considered as the most impactful design variables across each operation. Single tool process and scalable multiple tool milling operations were studied. Various optimization methods were discussed. The Nelder-Mead Simplex method showed to be simple and fast.
Download or read book Optimization of Machining Parameters in Multi pass Turning and Milling Operations written by Libao An and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimization of Milling Parameters Using Ant Colony Optimization written by Mohd Saupi Mohd Sauki and published by . This book was released on 2008 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: In process planning of conventional milling, selecting reasonable milling parameters is necessary to satisfy requirements involving machining economics, quality and safety. This study is to develop optimization procedures based on the Ant Colony Optimization (ACO). This method was demonstrated for the optimization of machining parameters for milling operation. The machining parameters in milling operations consist of cutting speed, feed rate and depth of cut. These machining parameters significantly impact on the cost, productivity and quality of machining parts. The developed strategy based on the maximize production rate criterion. This study describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. The ACO simulation is develop to achieve the objective to optimize milling parameters to maximize the production rate in milling operation. The Matlab software will be use to develop the ACO simulation. All the references are taken from related articles, journals and books. An example to apply the Ant Colony Algorithm to the problem has been presented at the end of the paper to give clear picture from the application of the system and its efficiency. The result obtained from this simulation will compare with another method like Genetic Algorithm (GA) and Linear Programming Technique (LPT) to validation. The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.
Download or read book Advanced Modeling and Optimization of Manufacturing Processes written by R. Venkata Rao and published by Springer Science & Business Media. This book was released on 2010-12-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examples of various manufacturing processes to demonstrate advanced modeling and optimization techniques. Both basic and advanced concepts are presented for various manufacturing processes, mathematical models, traditional and non-traditional optimization techniques, and real case studies. The results of the application of the proposed methods are also covered and the book highlights the most useful modeling and optimization strategies for achieving best process performance. In addition to covering the advanced modeling, optimization and environmental aspects of machining processes, Advanced Modeling and Optimization of Manufacturing Processes also covers the latest technological advances, including rapid prototyping and tooling, micromachining, and nano-finishing. Advanced Modeling and Optimization of Manufacturing Processes is written for designers and manufacturing engineers who are responsible for the technical aspects of product realization, as it presents new models and optimization techniques to make their work easier, more efficient, and more effective. It is also a useful text for practitioners, researchers, and advanced students in mechanical, industrial, and manufacturing engineering.
Download or read book IT Based Manufacturing written by Surender Kumar and published by Alpha Science Int'l Ltd.. This book was released on 2003 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a logistic view of IT-Based manufacturing comprising the concept methodology, tools, techniques and applications. Papers written by experts in their fields are organized into different sections covering cutting processes and machine tools, non-traditional manufacturing, joining and forming, manufacturing mechatronics and intelligent manufacturing. Comprises of 129 papers presented by both Indian and International Scientists at the 20th All India Manufacturing Technology, Design and Research Conference. Machining Processes and Machine Tools Non-Traditional Manufacturing Forming and Joining Manufacturing Mechatronics Intelligent Manufacturing Related Topics
Download or read book Optimization Of Machining Parameters Non Productive Time For Milling written by Arun Kumar Gupta and published by LAP Lambert Academic Publishing. This book was released on 2014-09-19 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization of a 2.5D milling process is generally considered to be one of the most significant issues for high-speed machining during mass production to amplify productivity and quality of production. Total time spent during 2.5D milling primarily comprises of productive and non-productive time. The productive time, cost and quality of production is highly influenced by machining parameters such as cutting speed, feed rate, width of cut (step over), depth of cut, tool diameter etc. Also selection of optimal machining conditions for better machining process efficiency is one of the key factors for this problem. The objective of the present work is to identify and organize the controllable variables such that there is minimum effect of uncontrollable or noise variables on the process performance. The machining processes which maintain balance between cost and quality of production are presumed to be efficient. The movements of tool are synchronized with the help of automatically generated CNC codes. In the present work an attempt also been made on minimization of non-productive time by synchronizing cutting tool movements for malti pockets job problems.
Download or read book Machining Dynamics and Parameters Process Optimization written by Gorka Urbicain and published by MDPI. This book was released on 2021-03-19 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
Download or read book Economical Optimization of Machining Parameters and Cost Determination for Milling Operations written by Albert William Heiman and published by . This book was released on 1977 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Mathematical Techniques in Computational and Intelligent Systems written by Sandeep Singh and published by CRC Press. This book was released on 2023-11-20 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods. Discusses advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems. Provides a useful guide toward the development of a sustainable model for disaster management. Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries. Covers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory. Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing. Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.
Download or read book Optimization of MacHining Parameters for Ball End Milling written by Jackson G. Njiri and published by LAP Lambert Academic Publishing. This book was released on 2011-09 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work describes the optimization process for ball-end milling of sculptured surfaces such as those encountered in dies/moulds and aircraft structural components. Since cutting forces are the main factors governing machining accuracy, machine tool vibration, power requirements and tool life, a comprehensive methodology of modelling, analysis and control of cutting forces is outlined. Due to complexity and vagueness of manufacturing process, fuzzy logic controller is employed to vary cutting parameters in real-time during manufacturing process depending on the emanating cutting forces. The control scheme aims at maximizing on the material removal rate and at the same time reducing on the rate at which the tool wears out. Also the need to have a constant machine operator to supervise the machining process is elimintated.
Download or read book Manufacturing Optimization through Intelligent Techniques 2006 written by Rajendran Saravanan and published by CRC Press. This book was released on 2017-11-22 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective utilization of equipment is critical to any manufacturing operation, especially with today's sophisticated, high-cost equipment and increased global competition. To meet these challenges in the manufacturing industry, you must understand and implement the myriad conventional and intelligent techniques for different types of manufacturing problems. Manufacturing Optimization Through Intelligent Techniques covers design of machine elements, integrated product development, machining tolerance allocation, selection of operating parameters for CNC machine tools, scheduling, part family formation, selection of robot coordinates, robot trajectory planning and both conventional and intelligent techniques, providing the tools to design and implement a suitable optimization technique. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program. The book delineates five new techniques using examples taken from the literature for optimization problems in design, tolerance allocation; selection of machining parameters, integrated product development, scheduling, concurrent formation of machine groups and part families, selection of robot co-ordinates, robot trajectory planning and intelligent machining. All the manufacturing functions described have been successfully solved by Genetic Algorithm. Other intelligent techniques have been implemented only for solving certain types of problems: simulated annealing; design and scheduling, particle swarm optimization and ant colony optimization; tolerance allocation and tabu search; as well as machining parameters optimization. After reading this book, you will understand the different types of manufacturing optimization problems as well as the conventional and intelligent techniques suitable for solving them. You will also be able to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing.
Download or read book Optimization of Milling Operations with Constraints written by Simon N. Araj and published by . This book was released on 1983 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Hard to Cut Materials written by Grzegorz M. Królczyk and published by MDPI. This book was released on 2020-03-13 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth of modern industry has resulted in a growing demand for construction materials with excellent operational properties. However, the improved features of these materials can significantly hinder their manufacture and, therefore, they can be defined as hard-to-cut. The main difficulties during the manufacturing/processing of hard-to-cut materials are attributed especially to their high hardness and abrasion resistance, high strength at room or elevated temperatures, increased thermal conductivity, as well as resistance to oxidation and corrosion. Nowadays, the group of hard-to-cut materials is extensive and still expanding, which is attributed to the development of a novel manufacturing techniques (e.g., additive technologies). Currently, the group of hard-to-cut materials mainly includes hardened and stainless steels, titanium, cobalt and nickel alloys, composites, ceramics, as well as the hard clads fabricated by additive techniques. This Special Issue, “Advances in Hard-to-Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity”, provides the collection of research papers regarding the various problems correlated with hard-to-cut materials. The analysis of these studies reveals the primary directions regarding the developments in manufacturing methods, characterization, and optimization of hard-to-cut materials.
Download or read book Optimization of Die Steel D2 by Using RSM Technique on End Milling written by Independently Published and published by . This book was released on 2018-09-05 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: The selection of efficient machining parameters is of great concern in manufacturing industries, where economy of machining operations plays a key role in the competitive market [Yazdi et al., 2010]. Many researchers have dealt with the optimization of machining parameters. Therefore it becomes important to optimize milling parameters. In any multi-stage metal cutting operation, the manufacturer seeks to set the process-releated controllable variables at their optimal operating conditions with minimum effect of uncontrollable or noise variables on the levels and variability in the outputs.
Download or read book Optimization of Process Parameters in Vertical CNC Mill Machines Using Taguchi s Design of Experiments written by D. G. Mahto and published by . This book was released on 2016 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the more precise demands of modern engineering products, the control of surface texture together with dimensional accuracy has become more important. This paper outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in end milling operation. The study was conducted in machining operation in hardened steel DIN GX40CRMOV5-1. The processing of the job was done by TiN coated carbide inserted end-mill tool under semi-finishing and finishing conditions of high-speed cutting. The milling parameters evaluated were cutting speed, feed rate and depth of cut. The experiments were conducted by using L-27 (313) orthogonal array as suggested by Taguchi. Signal-toNoise (S/N) ratio and Pareto Analysis of Variance (ANOVA) are employed to analyze the effect of milling parameters on surface roughness. Main effects of process parameters on the quality characteristics have been analyzed. The results show that the optimum parameters of machining by CNC Milling Machine for specified hardened steel material DIN GX40CRMOV5-1 is obtained at a cutting speed of 355m/min, feed rate 0.1mm per tooth and depth of cut 0.5mm.
Download or read book Metals Abstracts written by and published by . This book was released on 1993 with total page 1044 pages. Available in PDF, EPUB and Kindle. Book excerpt:
