scholarly journals Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 680 ◽  
Author(s):  
Muhammad Aamir ◽  
Shanshan Tu ◽  
Majid Tolouei-Rad ◽  
Khaled Giasin ◽  
Ana Vafadar
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Taguchi Method ◽  
Process Parameters ◽  
Cutting Speed ◽  
Hole Drilling ◽  
Hole Size ◽  
Drilling Parameters ◽  
Fuzzy Logic Approach ◽  
Logic Approach

In industries such as aerospace and automotive, drilling many holes is commonly required to assemble different structures where machined holes need to comply with tight geometric tolerances. Multi-spindle drilling using a poly-drill head is an industrial hole-making approach that allows drilling several holes simultaneously. Optimizing process parameters also improves machining processes. This work focuses on the optimization of drilling parameters and two drilling processes—namely, one-shot drilling and multi-hole drilling—using the Taguchi method. Analysis of variance and regression analysis was implemented to indicate the significance of drilling parameters and their impact on the measured responses i.e., surface roughness and hole size. From the Taguchi optimization, optimal drilling parameters were found to occur at a low cutting speed and feed rate using a poly-drill head. Furthermore, a fuzzy logic approach was employed to predict the surface roughness and hole size. It was found that the fuzzy measured values were in good agreement with the experimental values; therefore, the developed models can be effectively used to predict the surface roughness and hole size in multi-hole drilling. Moreover, confirmation tests were performed to validate that the Taguchi optimized levels and fuzzy developed models effectively represent the surface roughness and hole size.

Statistical Analysis of Process Parameters in Drilling of Al/Al2O3p Metal Matrix Composites

2014 ◽  
Vol 14 (3) ◽  
pp. 171-175 ◽  
Author(s):  
Yashvir Singh ◽  
Amneesh Singla ◽  
Ajay Kumar
Keyword(s):  
Surface Roughness ◽  
Statistical Analysis ◽  
Process Parameters ◽  
Metal Matrix ◽  
Design Method ◽  
Experimental Studies ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Signal To Noise ◽  
Drilling Parameters

AbstractThis paper presents a statistical analysis of process parameters for surface roughness in drilling of Al/Al2O3p metal matrix composite. The experimental studies were conducted under varying spindle speed, feed rate, point angle of drill. The settings of drilling parameters were determined by using Taguchi experimental design method. The level of importance of the drilling parameters is determined by using analysis of variance. The optimum drilling parameter combination was obtained by using the analysis of signal-to-noise ratio. Through statistical analysis of response variables and signal-to-noise ratios, the determined significant factors are depth of cut and drill point angle with the contributions of 87% and 12% respectively, whereas the cutting speed is insignificant contributing by 1% only. Confirmation tests verified that the selected optimal combination of process parameter through Taguchi design was able to achieve desired surface roughness.

scholarly journals Analysis and optimization of ultrasonic copper wires using fuzzy logic approach

2019 ◽  
Vol 28 ◽  
pp. 01019
Author(s):  
Jacek Zawadzki ◽  
Cezary Jędryczka
Keyword(s):  
Fuzzy Logic ◽  
Process Parameters ◽  
Fusion Welding ◽  
Manufacturing Industries ◽  
Additional Material ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Weld Time ◽  
Peel Stress ◽  
Short Time

Ultrasonic welding has been used in the market over the past thirty years and offer to the manufacturing industries like automotive, aviation, medical and many more due to various hurdles faced by conventional fusion welding or crimp processes. Very short time (less than 1 second) and no additional material during the connection process are very key advantages. Due to this fact this technology can be used for mass production. Plenty of times, the problems faced by industry due to this process are the poor weld quality and strength of the joints surface. In presented study, the process parameters like vibration amplitude, weld pressure and weld time are considered in analysis of the welding of copper wires (Cu- ETP1). Experiment is conducted according to the fractional design with replications to get the responses like tensile shear stress and T-peel stress of the weld. Measured data are utilized next to develop fuzzy logic model between responses and predictors. As a quality is an very important issue in these manufacturing industries, the optimal combinations of studied process parameters are found using fuzzy logic approach.

Application of Taguchi Method with Grey Fuzzy Logic for the Optimization of Machining Parameters in Machining Composites

2012 ◽  
pp. 219-241 ◽  
Author(s):  
K. Palanikumar ◽  
B. Latha ◽  
J. Paulo Davim
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Composite Materials ◽  
Taguchi Method ◽  
Optimization Technique ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Glass Fiber Reinforced Plastic ◽  
Glass Fiber Reinforced ◽  
Optimization Of Process Parameters

Glass fiber reinforced plastic (GFRP) composite materials are continuously displacing the traditional engineering materials and are finding increased applications in many fields, such as automobile, marine, sport goods, et cetera. Machining of these materials is needed to achieve near-net shape. In machining of composite materials, optimization of process parameters is an important concern. This chapter discusses the use of Taguchi method with Grey-fuzzy logic for the optimization of multiple performance characteristics considering material removal rate, surface roughness, and specific cutting pressure. Experiments were planned using Taguchi’s orthogonal array with the cutting conditions prefixed. The cutting parameters considered are workpiece (fiber orientation), cutting speed, feed, depth of cut, and machining time. The machining tests were performed on a lathe using coated cermet cutting tool. The results indicated that the optimization technique is greatly helpful in achieving better surface roughness and tool wear simultaneously in machining of GFRP composites.

scholarly journals Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method

2019 ◽  
Vol 14 (2) ◽  
pp. 14-21
Author(s):  
Aseel Jameel Haleel
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
High Speed ◽  
Cutting Tools ◽  
Cutting Speed ◽  
High Speed Steel ◽  
Control Factors ◽  
Drilling Parameters ◽  
Tool Diameter ◽  
Twist Drills

This paper focuses on the optimization of drilling parameters by utilizing “Taguchi method” to obtain the minimum surface roughness. Nine drilling experiments were performed on Al 5050 alloy using high speed steel twist drills. Three drilling parameters (feed rates, cutting speeds, and cutting tools) were used as control factors, and L9 (33) “orthogonal array” was specified for the experimental trials. Signal to Noise (S/N) Ratio and “Analysis of Variance” (ANOVA) were utilized to set the optimum control factors which minimized the surface roughness. The results were tested with the aid of statistical software package MINITAB-17. After the experimental trails, the tool diameter was found as the most important factor that has effect on the surface roughness. The optimal drilling factors that minimized the surface roughness are (20mm/min cutting speed, 0.2 mm/rev feed rate, and 10mm tool diameter).

Sign in / Sign up

Export Citation Format

Share Document