Optimization Of Turning Process
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Optimization Of Turning Process
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Author : Prafull P Shirpurkar
language : en
Publisher: Educreation Publishing
Release Date : 2019-02-28
Optimization Of Turning Process written by Prafull P Shirpurkar and has been published by Educreation Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Education categories.
The book contains Optimization of Multi response of Turning Process Parameters by Using Tool Inserts, now a days mostly used optimization technique which is better than single response optimizing technique because all the output is affected at a time by all the input factors. The objective of this book is to determine the optimal setting of cutting parameters speed (N)m/min, depth of cut(d) mm, feed(f)mm/rev, Nose Radius(r)mm, variation amplitude(mm/sec2), vibration frequency(kHz) in Cutting tool inserts to minimize surface roughness (Ra) and to increase the Tool life. In this book the experiment has been carried out on CNC (SPINNER 15) lathe in dry, Wet and MQL (Minimum Quantity Lubrication) cutting Condition turning of a commercially used EN 24 grade steel as a work material and carbide insert tool (CNMG120408 CNMG120412). This book highlights use of Taguchi experiment design to optimize the multi response parameters on turning operation. For this experiment Taguchi design of experiment was carried out to collect the data for surface roughness and tool vibration. The results indicate the optimum values of the input factors and the results are conformed by a confirmatory test. This book describes use and steps of Taguchi design of experiments and orthogonal array to find a specific range and combinations of turning parameters like cutting speed, feed rate and depth of cut, Nose Radius and Cutting condition to achieve optimal values of response variables like surface roughness, tool life, material removal rate in turning of Split Bush of EN24 Material.
Ai Based Modelling And Optimization Of Turning Process
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Author : Ruturaj Jayant Kulkarni
language : en
Publisher:
Release Date : 2012
Ai Based Modelling And Optimization Of Turning Process written by Ruturaj Jayant Kulkarni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Artificial intelligence categories.
In this thesis, Artificial Neural Network (ANN) technique is used to model and simulate the Turning Process. Significant machining parameters (i.e. spindle speed, feed rate, and, depths of cut) and process parameters (surface roughness and cutting forces) are considered. It is shown that Multi-Layer Back Propagation Neural Network is capable to perform this particular task. Design of Experiments approach is used for efficient selection of values of parameters used during experiments to reduce cost and time for experiments. The Particle Swarm Optimization methodology is used for constrained optimization of machining parameters to minimize surface roughness as well as cutting forces. ANN and Particle Swarm Optimization, two computational intelligence techniques when combined together, provide efficient computational strategy for finding optimum solutions. The proposed method is capable of handling multiple parameter optimization problems for processes that have non-linear relationship between input and output parameters e.g. milling, drilling etc. In addition, this methodology provides reliable, fast and efficient tool that can provide suitable solution to many problems faced by manufacturing industry today.
Optimization Of Machining Parameters For Product Quality And Productivity In Turning Process Of Aluminum
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Author : Nicolás Mancilla Cubides
language : en
Publisher:
Release Date : 2019*
Optimization Of Machining Parameters For Product Quality And Productivity In Turning Process Of Aluminum written by Nicolás Mancilla Cubides and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019* with categories.
Modern production is faced with the challenges in reducing the environmental impacts related to machining processes. Turning process is a manufacturing process widely used with a vast application for creating engineering components. In this context, many studies have been conducted in order to optimize the machining parameters and facilitate the decision-making process. This paper considers the quality of the products (surface finish) and the productivity rate of the turning manufacturing process to be both optimized. Product quality is quantified using surface roughness (R_a) and the productivity rate using material removal rate (MRR). We develop a predictive and optimization model by coupling artificial neural networks (ANN) and the Particle Swarm Optimization (PSO), a multi-function optimization technique, as an alternative to predict the model response (R_a) first and then search for the optimal value of turning parameters to minimize the surface roughness (R_a) and maximize the material removal rate (MRR). To obtain the data, Aluminum is used to perform the turning process experiments, considering the cutting speed, feed rate, depth of cut and nose radius of the cutting tool as our design factors. We used the gathered data to train and develop the ANN model. The results predicted by the proposed models indicate good agreement between the predicted and experimental values, proving that the proposed ANN model is capable of predicting the surface roughness accurately. Then, the optimization model PSO has provided a Pareto Front for the optimal solution, determining the optimum machining parameters for minimum R_a and maximum MRR. This study has application in the real industry where the selection of optimal machining parameters helps to complete and manage conflicting objectives that constitute hurdles in the decision-making of the manufacturing plans.
Cost Minimization Of Turning Machining Process Using Cs Ff Fp And Psa
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Author : S. Elizabeth Amudhini Stephen
language : en
Publisher:
Release Date : 2020-06-30
Cost Minimization Of Turning Machining Process Using Cs Ff Fp And Psa written by S. Elizabeth Amudhini Stephen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with categories.
Optimization Of Turning Parameters Using Ant Colony Optimization
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Author : Mohamad Nazri Semoin
language : en
Publisher:
Release Date : 2008
Optimization Of Turning Parameters Using Ant Colony Optimization written by Mohamad Nazri Semoin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Combinational optimization categories.
This project proposed a new optimization technique based on the ant colony algorithm for solving single-pass turning optimization problems. The cutting process has focus on roughing stages. There are enough handbooks to provide recommended cutting parameters and not consider the economic aspects of machining. The cost of machining on these machines is sensitive to the machining variable. The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. Method used for this project is Ant Colony Optimization. This method consists of many steps will elaborate detail in this thesis. The machining parameters are determined by minimized production cost per unit, subject to various practical machining constraints. The results indicate that the proposed ant colony framework is effective to optimized turning parameter. Lastly, ACO algorithm was successfully optimize depth of cut, cutting speed, feed rate and minimized production cost per unit.
Modern Optimization Techniques For Advanced Machining
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Author : Imhade P. Okokpujie
language : en
Publisher: Springer Nature
Release Date : 2023-07-21
Modern Optimization Techniques For Advanced Machining written by Imhade P. Okokpujie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Technology & Engineering categories.
Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry has increased tremendously due to its lightweight to high strength ratio and high-level resistance to corrosion. However, aluminum alloy has some challenges during the machining and manufacturing stage in order to solve real-life manufacturing challenges in advanced machining operation for sustainable production processes. Therefore, it is a need for the implementation of a general algebraic modeling system (GAMS) and other metaheuristic techniques for problem solving and to effectively develop mathematical models for high accuracy prediction and optimization under nano-lubrication machining conditions. This book discusses majorly on the major three responses in machining such as surface roughness, cutting force, and material removal rate, which will give an excellent guide to undergraduate and postgraduate students, senior research fellows in academia, operational, and strategic staff in manufacturing industries.
Multi Response Optimization For Cnc Turning Process
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Author : Krupal Pawar
language : en
Publisher:
Release Date : 2019-07-13
Multi Response Optimization For Cnc Turning Process written by Krupal Pawar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-13 with categories.
Rsm A Key To Optimize Machining Multi Response Optimization Of Cnc Turning With Al 7020 Alloy
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Author : Bikram Jit Singh
language : en
Publisher: Anchor Academic Publishing (aap_verlag)
Release Date : 2014
Rsm A Key To Optimize Machining Multi Response Optimization Of Cnc Turning With Al 7020 Alloy written by Bikram Jit Singh and has been published by Anchor Academic Publishing (aap_verlag) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Business & Economics categories.
Parametric optimization, especially in machining of non-ferrous alloys seems to be quite rare and needs an immediate attention because of its associated downstream financial and non-financial losses. This book tries to fill the gap and presents an optimization problem of commonly used Al-7020 Alloy. Principles of Response Surface Methodology (RSM) have been implemented through Minitab software to bring necessary multi-response optimization, while turning on a CNC turner. The present study focuses on to enhance Material Removal Rate (MRR) while simultaneously reducing the Surface Roughness (Ra), during turning of Al-alloy. Such opposite natured response optimization is much difficult to achieve, particularly when uncoated carbide tip has been used as a cutting tool. Intensive literature survey helps to pin point parameters like; Cutting Speed, Feed Rate and Depth of Cut as a most critical to machining parameters, as far as effective and efficient optimization of selected responses are concerned. All these control-parameters are directly or inversely related to each other. If the depth of cut is increased MRR increases at the same time we get poor surface finish. Increase in the cutting speed has positive impact on both material removal rate and surface finish. Shortlisted parameters are conflicting, so we have to optimize these for further enhancement of the overall turning performance. At last, the optimized results are verified by using ANOVA as a statistical tool. This book provides quite rare Case-study of multi-response optimization (while non-ferrous CNC turning) to practioners, machinists and SME owners appropriately.
Optimization Of Cutting Parameters For Energy Saving On Turning Process
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Author : Nurizzati Ahmad
language : en
Publisher:
Release Date : 2015
Optimization Of Cutting Parameters For Energy Saving On Turning Process written by Nurizzati Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Integrated Simulation And Stochastic Model Optimization For A Turning Process
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Author : Young-Hae Lee
language : en
Publisher:
Release Date : 1995
Integrated Simulation And Stochastic Model Optimization For A Turning Process written by Young-Hae Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematical optimization categories.