scholarly journals Utility-Taguchi based hybrid optimization approach in machining of graphite composites

2021 ◽  
Vol 13 (1) ◽  
pp. 10-16
Author(s):  
Jogendra Kumar ◽  
Prakhar Kumar Kharwar ◽  
Rajesh Kumar Verma
Keyword(s):  
Performance Optimization ◽  
Feed Rate ◽  
Removal Rate ◽  
Hybrid Optimization ◽  
Confirmatory Test ◽  
Optimization Approach ◽  
Taguchi Approach ◽  
Machining Performance ◽  
Fiber Volume ◽  
Volume Percentage

In the present scenario, composites material is widely used in various engineering areas like satellite components, aircraft parts, chemical and sports industries. Graphite is an allotrope of carbon that possesses various electrical and mechanical properties. In this paper, graphite is taken as reinforcement into the epoxy matrix. In this study, the hybrid optimization module is developed to tackle multi-objective machining performance optimization issues. Utility concept coupled Taguchi approach is used to find out optimum values of responses in three input factors i.e., drill speed, feed rate and fiber volume percentage varied at four discrete levels and surface roughness (Ra) and material removal rate (MRR) are taken as process response. Taguchi L16 OA has been used to perform the machining operation. Multiple responses aggregated into a single function i.e., overall utility (U) and finally optimized by the Taguchi concept. Utility embedded Taguchi approach determined the favorable machining setting which the confirmatory test has verified shows satisfactory results. ANOVA outcomes reveal that feed rate (73.37%) is the most important factor trailed by drill speed (3.44%) and fiber volume percentage.  

OPTIMIZATION OF TURNING PARAMETERS FOR SURFACE INTEGRITY PROPERTIES ON INCOLOY 800H SUPERALLOY USING CRYOGENICALLY TREATED MULTI-LAYER CVD COATED TOOL

2019 ◽  
Vol 26 (02) ◽  
pp. 1850139 ◽  
Author(s):  
A. PALANISAMY ◽  
T. SELVARAJ
Keyword(s):  
Process Parameters ◽  
Feed Rate ◽  
Removal Rate ◽  
Cryogenic Treatment ◽  
Cutting Speed ◽  
Dry Sliding Wear ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Machining Performance ◽  
Incoloy 800H

In this work, an attempt has been made to optimize the process parameters on turning operation of INCOLOY 800H, with the aid of cryogenically treated (24[Formula: see text]h, 12[Formula: see text]h and untreated) multi-layer chemical vapor deposition (CVD) coated tools. The influencing factors like cutting speed, feed rate, depth of cut and cryogenic treatment were selected as input parameters. Surface roughness, microhardness and material removal rate (MRR) were considered as output responses. The experimentation was planned and conducted based on Taguchi L27 standard orthogonal array (OA) with three levels and four factors. Multi-criteria decision making (MCDM) methods like grey relational analysis (GRA) and technique for order preference by similarity to ideal solution (TOPSIS) have been used to optimize the turning parameters in this work. Similar results were obtained from these MCDM techniques. Analysis of variance (ANOVA) was employed to identify the significance of the process parameters on the responses. Experimental research proved that machining performance could be improved efficiently at cutting speed is 55[Formula: see text]m/min, feed rate is 0.06[Formula: see text]mm/rev, depth of cut is 1[Formula: see text]mm and 24[Formula: see text]h cryogenically treated tool. Tool wear was analyzed for the cutting tool machined at the optimum cutting condition with the help of scanning electron microscope (SEM) and energy dispersion spectroscopy (EDS). Dry sliding wear test was also conducted for the optimal condition. The percentage improvement in machining performances is 12.70%.

Design of Thin Films Removal on Solar-Cells Silicon-Wafers Surface

2011 ◽  
Vol 121-126 ◽  
pp. 805-809
Author(s):  
P.S Pa
Keyword(s):  
Solar Cells ◽  
Feed Rate ◽  
Removal Rate ◽  
Low Cost ◽  
Strong Acid ◽  
Physical Structure ◽  
Current Approach ◽  
Silicon Wafers ◽  
Machining Performance ◽  
Si3n4 Layer

In this study, the design of the mechanism of a recycling system using composite electrochemical and chemical machining for removing the surface layers from silicon wafers of solar cells is studied. The reason for constructing a new engineering technology and developing a clean production approach to perform the removal of surface thin film layers from silicon wafers is to develop a mass production system for recycling defective or discarded silicon wafers of solar cells that can reduce pollution. The goal of the development is to replace the current approach, which uses strong acid and grinding and may cause damage to the physical structure of silicon wafers and cause pollution to the environment, to efficiently meet the requirements of industry for low cost. It can not only perform highly efficient recycling of silicon wafers from discarded solar cells to facilitate the following remelting and crystal pulling process, but can also recycle defective silicon wafers during the fabrication process of solar cells for rework. A small gap width between cathode and workpiece, higher temperature, higher concentration, or higher flow rate of machining fluid corresponds to a higher removal rate for Si3N4 layer and epoxy film. Pulsed direct current can improve the effect of dregs discharge and is advantageous to associate with the fast feed rate of workpiece, but raises the current rating. A higher feed rate of silicon wafers of solar cells combine with enough electric power produces fast machining performance. The electrochemical and chemical machining just needs quite short time to make the Si3N4 layer and epoxy film remove easily and cleanly. An effective and low-cost recycle process for silicon wafers of solar cells is presented.

scholarly journals Hard Turning ASSESSMENT on EN31 Steel in Dry and Wet Cooling Environments USING Grey-Fuzzy Hybrid Optimization APPROACH

2021 ◽  
Vol 13 (2) ◽  
pp. 55-62
Author(s):  
Saswat Khatai ◽  
◽  
Ramanuj Kumar ◽  
Ashok Kumar Sahoo ◽  
◽  
...  
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Material Removal ◽  
Physical Vapor Deposition ◽  
Hard Turning ◽  
Removal Rate ◽  
Hybrid Optimization ◽  
Optimization Approach ◽  
Dry Cutting ◽  
Coated Carbide

In recent years, machining of hard-to-cut metals by hard turning process is an embryonic technology for machining industry and research development. Hard turning is generally defined as the material removal process of hardened steel having hardness greater than 45 HRC.  The current research presents a comparative hard turning investigation on EN 31 (56 ± 1 HRC) grade steel using physical vapor deposition (PVD) coated carbide tool under dry and wet cooling. The selection of a better cooling strategy among dry and wet cooling was based on the value of obtained surface roughness (Ra) and material removal rate (MRR) in hard turning. Wet cooling exhibited better performance over dry cutting as lower Ra and greater MRR are achieved with wet cooling. Further, considering Taguchi L16 orthogonal array, hard turning experiments were executed in wet cooling and responses like surface roughness (Ra), material removal rate (MRR), and diameter error were studied. Further, the Grey-fuzzy hybrid optimization tool was employed and found improved results relative to the alone grey relational analysis as about 9 % less Ra and 2.612 times more MRR is noticed at the grey fuzzy optimal set of parameters.

scholarly journals Analysis of CSN 12050 Carbon Steel in Dry Turning Process for Product Sustainability Optimization Using Taguchi Technique

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Melesse Workneh Wakjira ◽  
Holm Altenbach ◽  
Janaki Ramulu Perumalla
Keyword(s):  
Carbon Steel ◽  
Feed Rate ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Optimization Approach ◽  
Machining Parameters ◽  
Optimal Parameters ◽  
Signal To Noise

The aim of this research paper is to investigate the machinability of CSN 12050 carbon steel bars using carbide insert tool in order to utilize the optimum cutting parameters by employing Taguchi approach. Experiments have been performed under dry cutting condition using an optimization approach according to Taguchi’s L9(34) orthogonal arrays; signal-to-noise ratio tests are designed. Analysis of variance (ANOVA) was performed to determine the importance of machining parameters on the material removal rate (MRR). The results were analyzed using signal-to-noise ratios (S/N); 3D surface graphs, main effect graphs of mean, and predictive equations are employed to study the performance characteristics. The optimal parameters resulted as A3B2C3 (i.e., cutting speed 275 (m/min), depth of cut 0.35 (mm), and feed rate 0.25 (mm/rev), respectively). In the present study, there is an improvement of 5.22 dB at optimal cutting conditions for each significant MRR response parameters such as cutting speed, depth of cut, and feed rate. With these proposed optimal parameters, it is possible to optimize machinability for product sustainability.

scholarly journals Multi-Objective Optimization of in Precision Turn-Boring Parameters for AA7050-T7451 with Multiple Performance Characteristics

2017 ◽  
Author(s):  
Shen Jenn Hwang ◽  
Yi-Hung Tsai
Keyword(s):  
Feed Rate ◽  
Removal Rate ◽  
Cutting Speed ◽  
Performance Characteristics ◽  
Experimental Results ◽  
Depth Of Cut ◽  
Machining Performance ◽  
Radial Depth ◽  
Grey Relational Grade ◽  
Grey Relational

The present study propose an innovative turn-boring operation method and focuses on finding optimal turn-boring process parameters for AA7050-T7451 by considering multiple performance characteristics using Taguchi orthogonal array with the grey relational analysis, the effect of cutting variables such as, feed rate, depth of cut and cutting speed are optimized with considerations of multiple performance characteristics namely surface roughness, roundness error, material removal rate and power consumption the optimal values were found out from the Grey relational grade. The result of the Analysis of Variances (ANOVA) is proved that the most significant factor is cutting speed, followed by feed rate, radial depth of cut. Finally, confirmation tests were performed to make a comparison between the experimental results. Experimental results have shown that machining performance in precision turn-boring process can be improved effectively through this approach

scholarly journals Multi-Optimization of Performance Parameters in Turn-Boring for Difficult-to-Cut Ti-6Al-4V

2017 ◽  
Author(s):  
Shen-Jenn Hwang ◽  
Xin-Tang Li
Keyword(s):  
Feed Rate ◽  
Removal Rate ◽  
Cutting Speed ◽  
Performance Characteristics ◽  
Experimental Results ◽  
Depth Of Cut ◽  
Machining Performance ◽  
Radial Depth ◽  
Grey Relational Grade ◽  
Grey Relational

The present study propose an innovative turn-boring operation method and focuses on finding optimal turn-boring process parameters for Ti-6Al-4V by considering multiple performance characteristics using Taguchi orthogonal array with the grey relational analysis, the effect of machining variables such as, feed rate, depth of cut and cutting speed are optimized with considerations of multiple performance characteristics namely surface roughness, roundness error, material removal rate and power consumption the optimal values were found out from the Grey relational grade. The result of the Analysis of Variances (ANOVA) is shown that the most significant factor is cutting speed, followed by feed rate, radial depth of cut. Finally, confirmation tests were carried out to make a comparison between the experimental results. Experimental results have shown that machining performance in the turn-boring process can be improved effectively through this approach.

Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

2020 ◽  
Vol 17 (1) ◽  
pp. 7629-7647
Author(s):  
A. Pandey ◽  
R. Kumar ◽  
A. K. Sahoo ◽  
A. Paul ◽  
A. Panda
Keyword(s):  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Coconut Oil ◽  
Chip Morphology ◽  
Weight Fraction ◽  
Cutting Fluid ◽  
Depth Of Cut

The current research presents an overall performance-based analysis of Trihexyltetradecylphosphonium Chloride [[CH3(CH2)5]P(Cl)(CH2)13CH3] ionic fluid mixed with organic coconut oil (OCO) during turning of hardened D2 steel. The application of cutting fluid on the cutting interface was performed through Minimum Quantity Lubrication (MQL) approach keeping an eye on the detrimental consequences of conventional flood cooling. PVD coated (TiN/TiCN/TiN) cermet tool was employed in the current experimental work. Taguchi’s L9 orthogonal array and TOPSIS are executed to analysis the influences, significance and optimum parameter settings for predefined process parameters. The prime objective of the current work is to analyze the influence of OCO based Trihexyltetradecylphosphonium Chloride ionic fluid on flank wear, surface roughness, material removal rate, and chip morphology. Better quality of finish (Ra = 0.2 to 1.82 µm) was found with 1% weight fraction but it is not sufficient to control the wear growth. Abrasion, chipping, groove wear, and catastrophic tool tip breakage are recognized as foremost tool failure mechanisms. The significance of responses have been studied with the help of probability plots, main effect plots, contour plots, and surface plots and the correlation between the input and output parameters have been analyzed using regression model. Feed rate and depth of cut are equally influenced (48.98%) the surface finish while cutting speed attributed the strongest influence (90.1%). The material removal rate is strongly prejudiced by cutting speed (69.39 %) followed by feed rate (28.94%) whereas chip reduction coefficient is strongly influenced through the depth of cut (63.4%) succeeded by feed (28.8%). TOPSIS significantly optimized the responses with 67.1 % gain in closeness coefficient.

scholarly journals Longitudinal Axial Flow Rice Thresher Performance Optimization Using the Taguchi Technique

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 88
Author(s):  
Mohamed Anwer Abdeen ◽  
Abouelnadar Elsayed Salem ◽  
Guozhong Zhang
Keyword(s):  
Performance Optimization ◽  
Feed Rate ◽  
Axial Flow ◽  
Feeding Rates ◽  
Power Requirement ◽  
Rotating Speed ◽  
Seed Loss ◽  
Harvesting Process ◽  
Combine Harvesters ◽  
Working Device

Combine harvesters are widely used worldwide in harvesting many crops, and they have many functions that cover the entire harvesting process, such as cutting, threshing, separating, and cleaning. The threshing drum is the core working device of the combine harvester and plays an influential role in rice threshing efficiency, threshing power requirement, and seed loss. In this study, two structures of rice threshers (conical-shaped and cylindrical-shaped) were tested and evaluated for performance under different thresher rotating speeds of 1100, 1300, and 1500 rpm and different feeding rates of 0.8, 1.1, and 1.4 kg/s. The experiment was designed using the Taguchi method, and the obtained results were evaluated using the same technique. The thresher structure and operating parameters were assessed and optimized with reference to threshing efficiency, required power, and productivity. The obtained results revealed that increasing thresher rotating speed and the feeding rate positively related to threshing efficiency, power, and productivity. The highest efficiency of 98% and the maximum productivity of 0.64 kg/s were obtained using the conical-shaped thresher under a 1500 rpm rotating speed and a feed rate of 1.4 kg/s, whereas the minimum required power of 5.45 kW was obtained using the conical thresher under a rotating speed of 1100 rpm and a feed rate of 0.8 kg/s.

High-Throughput Picosecond Laser Machining of Aerospace Nickel Superalloy

2021 ◽  
pp. 095440542110288
Author(s):  
Sundar Marimuthu ◽  
Bethan Smith
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Material Removal ◽  
Thermal Damage ◽  
Removal Rate ◽  
Picosecond Laser ◽  
Nickel Superalloy ◽  
Laser Machining ◽  
Process Conditions ◽  
Machining Performance

This manuscript discusses the experimental results on 300 W picosecond laser machining of aerospace-grade nickel superalloy. The effect of the laser’s energetic and beam scanning parameters on the machining performance has been studied in detail. The machining performance has been investigated in terms of surface roughness, sub-surface thermal damage, and material removal rate. At optimal process conditions, a picosecond laser with an average power output of 300 W can be used to achieve a material removal rate (MRR) of ∼140 mm3/min, with thermal damage less than 20 µm. Shorter laser pulse widths increase the material removal rate and reduce the resultant surface roughness. High scanning speeds improve the picosecond laser machining performance. Edge wall taper of ∼10° was observed over all the picosecond laser machined slots. The investigation demonstrates that high-power picosecond lasers can be used for the macro-machining of industrial components at an acceptable speed and quality.

Sign in / Sign up

Export Citation Format

Share Document