Parameters optimization of advanced machining processes using TLBO algorithm

Author(s):  
Rao R V ◽  
◽  
Kalyankar V D ◽  
Author(s):  
Nandkumar N. Bhopale ◽  
Nilesh Nikam ◽  
Raju S. Pawade

Recently advanced machining processes are widely used by manufacturing industries in order to produce high quality precise and very complex products. These advanced machining processes involve large number of input parameters which may affect the cost and quality of the products. Selection of optimum machining parameters in such advanced machining processes is very important to satisfy all the conflicting objectives of the process. This algorithm is inspired by the teaching-learning process and it works on the effect of influence of a teacher on the output of learners in a class. This paper presents the application of Response Surface Methodology coupled with newly developed advanced algorithm Teaching Learning Based Optimization Technique (TLBO) is applied for the process parameters optimization for ball end milling process on Inconel 718 cantilevers. The machining and tool related parameters like spindle speed, milling feed, workpiece thickness and workpiece inclination with tool path orientation are optimized with considerations of multiple response like deflection, surface roughness, and micro hardness of plate.


2019 ◽  
Vol 2 (1) ◽  
pp. 42-58 ◽  
Author(s):  
Aakash Tyagi ◽  
Vyom Sharma ◽  
Divyansh Singh Patel ◽  
V. K. Jain ◽  
J. Ramkumar

Electrochemical turning (ECT) has been studied by researchers for making axially symmetric parts of different materials by using shaped tools fed radially into the rotating workpiece. Despite having various advantages over other advanced machining processes, ECT has failed to gain much attention by the manufacturing industries and researchers because of the complexity involved in designing a shaped tool to give a desired shape and tolerances to the workpiece. In the present work, a systematic study is presented to understand the applicability of a microwire as a replacement for a shaped tool in this process. Simulations are carried out to understand the distribution of electric field lines and current density in case of wire electrochemical turning (ECT). The effects of insulting wire up to different angles on the evolved groove profile are investigated by performing simulation study. Minimum groove width is observed at the lowest value of ‘tool exposed angle’ (30°), while maximum groove depth is observed at the highest value of tool exposed angle (270°). In the later part of the work, an experimental study is performed to characterize a groove profile using a bare copper wire of diameter 200 µm. The effects of input parameters, such as workpiece rpm, tool radial insertion, applied potential and electrolyte concentration on responses like groove width, corner radius and taper angle are investigated. Finally, the understanding of behaviour of different process parameters is applied to perform operations like multi-step turning, microgroove turning and taper turning on copper and micro-threading on stainless steel 304.


2012 ◽  
Vol 523-524 ◽  
pp. 1018-1023
Author(s):  
Ekkard Brinksmeier ◽  
Oltmann Riemer ◽  
Christian Robert ◽  
Sven Twardy

This paper presents two alternative approaches in mold making for micro forming processes. The quality of formed micro parts is mainly dominated by the process parameters and the surface characteristics of the applied forming tools. Forming dies with advanced micro structures can improve the result of forming processes compared to tools with smooth surfaces. Here an approach of micro ball end milling is described to generate the macro geometry as well as an engineered surface texture on micro forming tools in one machining step. In addition to the surface topography, the die material has a decisive influence on the forming result and durability of the forming tool. Therefore single crystalline diamond represents an promissing material for forming tools, because of its unique material characteristics. On the other hand single crystalline diamond requires unreasonable high efforts for its geometrical shaping. Therefore, this paper will introduce a new approach to machine single crystalline diamond by thermo-chemical material removal.


Author(s):  
Ishaan R. Kale ◽  
Mayur A. Pachpande ◽  
Swapnil P. Naikwadi ◽  
Mayur N. Narkhede

The demand of Advanced Machining Processes (AMP) is continuously increasing owing to the technological advancement. The problems based on AMP are complex in nature as it consisted of parameters which are interdependent. These problems also consisted of linear and nonlinear constraints. This makes the problem complex which may not be solved using traditional optimization techniques. The optimization of process parameters is indispensable to use AMP's at its aptness and to make it economical to use. This paper states the optimization of process parameters of Ultrasonic machining (USM) and Abrasive water jet machining (AWJM) processes to maximize the Material Removal Rate (MRR) using a socio inspired Cohort Intelligent (CI) algorithm. The constraints involved with these problems are handled using static penalty function approach. The solutions are compared with other contemporary techniques such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Modified Harmony Search (HS_M) and Genetic Algorithm (GA).


2019 ◽  
Vol 91 (3) ◽  
Author(s):  
Adrian Kopytowski ◽  
Rafał Świercz ◽  
Rafał Nowicki ◽  
Grigor Stambolov

Requirements currently imposed on machine elements are constantly growing. It requires to develop new, advanced machining processes. One of the commonly used finishing process is grinding. The article presents the results of the exploratory research in the process of surface grinding with abrasive multigrain wheels of samples made of Inconel 718. The influence of input parameters was investigated: cutting speed Vc, transverse feed speed Fp, longitudinal feed speed Fw, on roughness parameters (Sa) and the bearing capacity curve. Based on the conducted research, statistical models of the grinding process were elaborated, which allow to select the most favorable processing parameters depending on the required quality of the surface texture.


Mechanik ◽  
2018 ◽  
Vol 91 (5-6) ◽  
pp. 338-342
Author(s):  
Wit Grzesik

Some important trends in the development of advanced machining processes with potential applications in Production/Manufacturing 4.0 are presented. In general, both conventional and unconventional machining processes are characterized in terms of potential technological possibilities related to their hybridization allowing the performance of more productive and effective machining processes. This is due to the fact that hybrid processes considerably enhance the advantages of individual processes and minimize potential disadvantages in individual processes. Possible classification systems of hybrid processes including the CIRP terminology are overviewed and some representative examples are provided. In particular, the hybrid machining processes based on the simultaneous and controlled interaction of process mechanisms and/or energy sources leading to the synergic effect (1 + 1 = 3) on the process performance are taken into account. Some conclusions and future trends in the implementation of hybrid processes are outlined.


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