Fabrication and Optimization of Drilling Parameters in Heat Treated SiC Reinforced Functionally Graded Al Composites Using Taguchi Method

2012 ◽  
Vol 710 ◽  
pp. 353-358
Author(s):  
K. Vinoth Babu ◽  
J.T. Winowlin Jappes ◽  
T.P.D. Rajan
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Thrust Force ◽  
Functionally Graded ◽  
Drilling Process ◽  
Sic Particles ◽  
Drilling Parameters ◽  
Heat Treated ◽  
Outer Periphery ◽  
Coated Carbide

The present investigation is on the fabrication of SiC particles reinforced aluminum functionally graded disc and optimization of drilling process parameters using Taguchi method. The primary processing of A356-20%SiCpcomposite have been carried out by liquid metal stir casting technique followed by centrifugal casting leading to the formation of a functionally graded Al FGM disc with SiC particles segregating towards the outer periphery of the casting. The composite specimens are heat treated and used for the drilling studies. Taguchi method has been used to find the optimal drilling parameters for surface roughness and thrust force during drilling. The Taguchi Orthogonal arrays, signal-to-noise ratio (S/N) and Analysis of variance (ANOVA) are employed to study the performance characteristics in drilling operations of FGMMC using TiAlN coated carbide tools. The drilling parameters like cutting speed, feed and point angle in three different zones (15, 45, and 75 mm from the outer periphery) of FGMMC are optimized with considerations of surface roughness and thrust force.

scholarly journals Performance Analysis of Multi-Spindle Drilling of Al2024 with TiN and TiCN Coated Drills Using Experimental and Artificial Neural Networks Technique

2020 ◽  
Vol 10 (23) ◽  
pp. 8633
Author(s):  
Muhammad Aamir ◽  
Majid Tolouei-Rad ◽  
Ana Vafadar ◽  
Muhammad Nouman Amjad Raja ◽  
Khaled Giasin
Keyword(s):  
Surface Roughness ◽  
Thrust Force ◽  
Drilling Process ◽  
Hole Quality ◽  
Drilling Performance ◽  
Coated Tools ◽  
Drilling Parameters ◽  
Increase Productivity ◽  
Coated Carbide ◽  
Multiple Holes

Multi-spindle drilling simultaneously produces multiple holes to save time and increase productivity. The assessment of hole quality is important in any drilling process and is influenced by characteristics of the cutting tool, drilling parameters and machine capacity. This study investigates the drilling performance of uncoated carbide, and coated carbide (TiN and TiCN) drills when machining Al2024 aluminium alloy. Thrust force and characteristics of hole quality, such as the presence of burrs and surface roughness, were evaluated. The results show that the uncoated carbide drills performed better than the TiN and TiCN coated tools at low spindle speeds, while TiCN coated drills produced better hole quality at higher spindle speeds. The TiN coated drills gave the highest thrust force and poorest hole quality when compared with the uncoated carbide and TiCN coated carbide drills. Additionally, a multi-layer perceptron neural network model was developed, which could be useful for industries and manufacturing engineers for predicting the surface roughness in multi-hole simultaneous drilling processes.

Robust Optimization of the Deep Drilling Process by Taguchi Method

2015 ◽  
Vol 760 ◽  
pp. 403-408
Author(s):  
Laurentiu Aurel Mihail
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Robust Optimization ◽  
Drilling Process ◽  
Machining Parameters ◽  
Deep Drilling ◽  
Engineering Approach ◽  
Drilling Parameters ◽  
Profile Height ◽  
Average Profile

The paper presents an optimization by using the robust engineering approach, for the optimization of the deep drilling process by assessing the surface roughness by the Ra parameter. The trials were developed according with the Robust Engineering principles, by applying the Taguchi Method. The parameter for decision is the average profile height (Ra) of the roughness. Finally, there are presented solutions for the setting-up the deep drilling parameters levels in such a way to assure the best quality at the level of the generated surface. The method results to be reliable for being applied for achieving the optimal setup machining parameters used for the deep drilling process.

scholarly journals A Force Sensorless Method for CFRP/Ti Stack Interface Detection during Robotic Orbital Drilling Operations

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Qiang Fang ◽  
Ze-Min Pan ◽  
Bing Han ◽  
Shao-Hua Fei ◽  
Guan-Hua Xu ◽  
...  
Keyword(s):  
Cutting Force ◽  
Thrust Force ◽  
Cutting Parameters ◽  
Force Model ◽  
Drilling Process ◽  
Reinforced Plastics ◽  
Orbital Drilling ◽  
Drilling Parameters ◽  
Drilling Operations ◽  
Machining Properties

Drilling carbon fiber reinforced plastics and titanium (CFRP/Ti) stacks is one of the most important activities in aircraft assembly. It is favorable to use different drilling parameters for each layer due to their dissimilar machining properties. However, large aircraft parts with changing profiles lead to variation of thickness along the profiles, which makes it challenging to adapt the cutting parameters for different materials being drilled. This paper proposes a force sensorless method based on cutting force observer for monitoring the thrust force and identifying the drilling material during the drilling process. The cutting force observer, which is the combination of an adaptive disturbance observer and friction force model, is used to estimate the thrust force. An in-process algorithm is developed to monitor the variation of the thrust force for detecting the stack interface between the CFRP and titanium materials. Robotic orbital drilling experiments have been conducted on CFRP/Ti stacks. The estimate error of the cutting force observer was less than 13%, and the stack interface was detected in 0.25 s (or 0.05 mm) before or after the tool transited it. The results show that the proposed method can successfully detect the CFRP/Ti stack interface for the cutting parameters adaptation.

scholarly journals An Investigation of the Effect of Parameters and Chip Slenderness Ratio on Drilling Process Quality of AISI 1050 Steel

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Zülküf Demir ◽  
Rifat Yakut
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Thrust Force ◽  
Slenderness Ratio ◽  
Chip Morphology ◽  
Drilling Process ◽  
Steel Alloy ◽  
Drilling Operations ◽  
Machining Operations

The chip slenderness ratio is a vital parameter in theoretical and applicable machining operations. In predrilled drilling operations of AISI 1050 steel alloy, HSS drills were employed, and the effect of the selected parameters on the chip slenderness ratio and also the effect of the chip slenderness ratio on the thrust force, surface roughness, drilled hole delamination, tool wear, and chip morphology were investigated. The major parameters, influential on the chip slenderness ratio, were feed rate and point angle, while spindle speed was too small to be negligible. With increasing the chip slenderness ratio, the thrust force and the tool wear decreased, which resulted in appropriate chip morphology, but there were increases in surface roughness. However, the chip slenderness ratio had no effect on the drilled hole delamination.

scholarly journals Application of Genetic Algorithm Technique for Machining Parameters Optimization in Drilling of Stainless Steel

2019 ◽  
Vol 23 (1) ◽  
pp. 271-276
Author(s):  
T. Deepan Bharathi Kannan ◽  
B. Suresh Kumar ◽  
G. Rajesh Kannan ◽  
M. Umar ◽  
Mohammad Chand Khan
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Stainless Steel ◽  
Cnc Machining ◽  
Drilling Process ◽  
Machining Parameters ◽  
Burr Height ◽  
Drilling Parameters ◽  
Confirmation Test ◽  
Exit Burr

Abstract This work is aimed at developing relations between the pertinent variables that affect drilling process of stainless steel using artificial neural network. The experiments were conducted on vertical CNC machining centre. The parameters used were spindle speed and feed rate. The effect of machining parameters on entry burr height, exit burr height and surface roughness was experimentally evaluated for different spindle speeds and feed rates. A model was established between the drilling parameters and experimentally obtained data using ANN. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the burr height and surface roughness in drilling of stainless steel. Genetic algorithm (GA) technique was used in this work to identify the optimized drilling parameters. Confirmation test was conducted with the optimized parameters and it was found that confirmation test results were similar to that of GA-predicted output values.

scholarly journals Optimization of Drilling Parameters on Alkaline Treated Jute fiber Sandwich Material

2019 ◽  
Vol 8 (3) ◽  
pp. 2454-2459 ◽  
Keyword(s):  
Feed Rate ◽  
Thrust Force ◽  
Sandwich Structures ◽  
Fitness Function ◽  
Entry And Exit ◽  
Drilling Performance ◽  
Drilling Parameters ◽  
Drill Diameter ◽  
Coated Carbide ◽  
Different Levels

The present work efforts to determine CNC drilling performance and optimization of drilling parameters during drilling of treated JFRPPU-foam sandwich structures. In this drilling operation the ensuing process performance structures viz thrust, torque and delamination factor for entry and exit hole have been recognized. The effort has been made to regulate the optimal drilling parameters set. Taguchi method employed for design of experiment. The effects of parameters process such as composite geometry type, feed rate, drill speed, and drill size varied each at three different levels. In this experimentation sandwich structures L27 orthogonal array is used. A nonlinear regression model is measured and formulates the function based on the drilling parameters and fitness function. The result shows the minimization thrust force, delamination of hole drill diameter and feed rate more effect than the speed. TAN coated carbide twist drilled hole gives the result more percentage to reduce the hole wall delamination.

Effects of Cutting Parameters on Tool Wear and Thrust Force in Drilling Nickel-Titanium (NiTi) Alloys Using Coated and Uncoated Carbide Tools

2018 ◽  
Vol 791 ◽  
pp. 111-115 ◽  
Author(s):  
Rosmahidayu Rosnan ◽  
Azwan Iskandar Azmi ◽  
Muhamad Nasir Murad
Keyword(s):  
Wear Resistance ◽  
Tool Wear ◽  
Thrust Force ◽  
Cutting Parameters ◽  
Nickel Titanium ◽  
Burr Formation ◽  
Machining Processes ◽  
Drilling Parameters ◽  
Mechanical Machining ◽  
Coated Carbide

The difficulties of machining nickel-titanium alloys are due to their high ductility and super-elasticity, strong strain-hardening, and excellent wear resistance. These characteristics lead to poor chip breakability, high cutting forces, rapid and aggressive tool-wear, as well as excessive burr formation during mechanical machining processes. The present study addresses these issues by evaluating the effects of drilling parameters and drill bit coatings on the growth of tool wear and development of the drilling thrust force. The findings from this research indicate that the TiAlN coated carbide drill was found to significantly improve the wear resistance of the cutting tool. Likewise, the results of thrust force development are consistent with the trends of tool wear growth for all of the tested carbide drills.

Effects of Drilling Parameters on Surface Roughness of Al2024 Alloy with Taguchi Method

2019 ◽  
Author(s):  
Yusuf Şahin ◽  
Tariku Achamyeleh ◽  
Rajini N ◽  
A. Alavudeen ◽  
Cami Decker
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Drilling Parameters ◽  
Al2024 Alloy
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