A NEW CRITERION FOR DRILLING MACHINABILITY EVALUATION OF NANOCOMPOSITES MODIFIED BY GRAPHENE/CARBON FIBER EPOXY MATRIX AND OPTIMIZATION USING COMBINED COMPROMISE SOLUTION

2021 ◽  
pp. 2150082
Author(s):  
JOGENDRA KUMAR ◽  
RAJESH KUMAR VERMA
Keyword(s):  
Principal Component ◽  
Cutting Parameters ◽  
Quadratic Model ◽  
Compromise Solution ◽  
Drilling Force ◽  
Drilling Tool ◽  
Validation Experiment ◽  
Hybrid Module ◽  
Force Signal ◽  
Optimization Methodology

This article describes new control criteria and robust optimization methodology to balance drilling parameters and machining characteristics. Experimentation was performed according to response surface methodology (RSM) using a TiAlN coated SiC tool. The full drilling force signal and cutting parameters tested are categorized into five stages, indicating the drilling tool-workpiece interactions’ different statuses. Principal component analysis (PCA) assigns real response priority weight during the aggregation of conflicting characteristics. The hybrid module of combined compromise solution and PCA (CoCoSo–PCA) is used to decide the optimal parametric setting. It efficiently undertakes a trade-off between minimal thrust ([Formula: see text][Formula: see text]N), torque ([Formula: see text][Formula: see text]Nm) surface roughness ([Formula: see text]m). A regression model between input parameters and output function was established using RSM quadratic model. The validation experiment shows significant improvement, and the proposed module can be recommended for quality-productivity characteristics control.

Experimental Study on Orbital Drilling Force and Machining Quality of CFRP

2014 ◽  
Vol 1061-1062 ◽  
pp. 542-549
Author(s):  
Xue Mei Chen ◽  
Qing Liang Chen ◽  
Feng Tao He ◽  
Xi Feng Fan
Keyword(s):  
Thrust Force ◽  
Orthogonal Experiment ◽  
Cutting Parameters ◽  
Force Model ◽  
Drilling Process ◽  
Drilling Force ◽  
Drilling Tool ◽  
Orbital Drilling ◽  
Reinforced Plastic ◽  
Predominant Factor

This paper aims to investigate orbital drilling process in carbon-fiber reinforced plastic (CFRP) composites with multi-point orbital drilling tool based on the robot automatic drilling system. One orthogonal experiment has been carried out, and the cutting forces of different parameters were measured online by dynamometer. Furthermore, the cutting force model was established through regression analysis, and the impacts of cutting parameters on thrust force were deeply analyzed. In addition, delamination and tear defects were inspected respectively, and the relationship between thrust force and delamination and tear was discussed. Our results indicate that thrust force increased with the increasing feed rate and axial feed depth, while decreased with the increasing spindle speed. Axial feed depth was found as the predominant factor on thrust force and defects. At last, the cutting parameters was optimized and then thrust force decreased more than 26% with almost none tear and burr around the hole, which indicates a better machine quality.

scholarly journals Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

2021 ◽  
Vol 17 (1) ◽  
pp. 155014772199170
Author(s):  
Jinping Yu ◽  
Deyong Zou
Keyword(s):  
Acoustic Emission ◽  
Time Domain ◽  
Vibration Signal ◽  
Rock Breaking ◽  
Drill String ◽  
Mean Square ◽  
Drilling Force ◽  
Emission Signal ◽  
Force Signal ◽  
The Mean

The speed of drilling has a great relationship with the rock breaking efficiency of the bit. Based on the above background, the purpose of this article is to predict the position of shallow bit based on the vibration signal monitoring of bit broken rock. In this article, first, the mechanical research of drill string is carried out; the basic changes of the main mechanical parameters such as the axial force, torque, and bending moment of drill string are clarified; and the dynamic equilibrium equation theory of drill string system is analyzed. According to the similarity criterion, the corresponding relationship between drilling process parameters and laboratory test conditions is determined. Then, the position monitoring test system of the vibration bit is established. The acoustic emission signal and the drilling force signal of the different positions of the bit in the process of vibration rock breaking are collected synchronously by the acoustic emission sensor and the piezoelectric force sensor. Then, the denoised acoustic emission signal and drilling force signal are analyzed and processed. The mean value, variance, and mean square value of the signal are calculated in the time domain. The power spectrum of the signal is analyzed in the frequency domain. The signal is decomposed by wavelet in the time and frequency domains, and the wavelet energy coefficients of each frequency band are extracted. Through the wavelet energy coefficient calculated by the model, combined with the mean, variance, and mean square error of time-domain signal, the position of shallow buried bit can be analyzed and predicted. Finally, by fitting the results of indoor experiment and simulation experiment, it can be seen that the stress–strain curve of rock failure is basically the same, and the error is about 3.5%, which verifies the accuracy of the model.

Apply Image Registration to the Wear Measurement and Analysis of Different PVD-Coating Drills

2007 ◽  
Vol 359-360 ◽  
pp. 489-493
Author(s):  
Yih Chih Chiou ◽  
Yu Teng Liang
Keyword(s):  
Image Registration ◽  
Cutting Tools ◽  
Cutting Parameters ◽  
Control Factor ◽  
Drilling Force ◽  
Dry Cutting ◽  
Wear And Corrosion ◽  
Measurement And Analysis ◽  
Wear And Corrosion Resistance ◽  
Hot Hardness

PVD (Physical Vapour Deposition) multilayer coatings were extensively used in cutting tools because of their relatively high wear and corrosion resistance, adhesion strength, hot hardness, and low coefficient of friction. The object of this study is to measure flank wear of dry cutting drills of different PVD coatings, including TiN, TiCN, and TiAlN by using drilling force experiments and machine vision technique incorporated with image registration technique. To obtain an optimal combination of cutting parameters quickly, we applied Taguchi method to plan the drilling experiment. The experimental results show that coating layer is the most important control factor for cutting and the TiAlN-coating drills generate least wear and thus has the longest tool life.

Multi-objective Optimization of UV Spot Curing Technique of Slider - Suspension Attachment Process Using Response Surface Methodology Approach

2021 ◽  
Author(s):  
Santi Pumkrachang
Keyword(s):  
Response Surface Methodology ◽  
Shear Strength ◽  
Response Surface ◽  
Process Parameters ◽  
Epoxy Adhesive ◽  
Quadratic Model ◽  
Uv Curable ◽  
Multi Objective ◽  
Validation Experiment ◽  
Cure Time

The ultraviolet (UV) curing of slider-suspension attachment is going to change from a manual to an automated process. As a result, the bonding parameters of adhesive between slider and suspension needs to be optimized. This paper aims to study two output responses of the UV curable epoxy adhesive i.e., shear strength force and pitch static attitude (PSA) of the joint between slider and suspension in a head gimbal assembly (HGA). Four process parameters were investigated using response surface methodology (RSM) based on face-centered central composite design (FCCD). The RSM was applied to establish a mathematical model to correlate the significance of process parameters and the responses. Then the based multi-objective was applied to determine a quadratic model and obtained the output maximization at 224 g of shear strength force and PSA value close to the target at 1.8 degrees. The input process parameters were optimized at 0.7 s of UV bottom cure time, 120 °C of UV dual side temperature, 5.0 s of UV dual side cure time, and 230 μm of adhesive dot size. The validation experiment showed a prediction response error of less than 7% of the actual value.

Designing and implementation of a novel online adaptive control with optimization technique in hard turning

2020 ◽  
pp. 095965182095219
Author(s):  
Vahid Pourmostaghimi ◽  
Mohammad Zadshakoyan
Keyword(s):  
Adaptive Control ◽  
Tool Wear ◽  
Hard Turning ◽  
Cutting Tool ◽  
Optimization Technique ◽  
Cutting Parameters ◽  
Numerical Control ◽  
Machining Process ◽  
Machining Parameters ◽  
Optimization Methodology

Determination of optimum cutting parameters is one of the most essential tasks in process planning of metal parts. However, to achieve the optimal machining performance, the cutting parameters have to be regulated in real time. Therefore, utilizing an intelligent-based control system, which can adjust the machining parameters in accordance with optimal criteria, is inevitable. This article presents an intelligent adaptive control with optimization methodology to optimize material removal rate and machining cost subjected to surface quality constraint in finish turning of hardened AISI D2 considering the real condition of the cutting tool. Wavelet packet transform of cutting tool vibration signals is applied to estimate tool wear. Artificial intelligence techniques (artificial neural networks, genetic programming and particle swarm optimization) are used for modeling of surface roughness and tool wear and optimization of machining process during hard turning. Confirmatory experiments indicated that the efficiency of the proposed adaptive control with optimization methodology is 25.6% higher compared to the traditional computer numerical control turning systems.

Drilling Force and Chip Morphology in Drilling of PCB Supported Hole

2011 ◽  
Vol 188 ◽  
pp. 429-434 ◽  
Author(s):  
L.P. Yang ◽  
Li Xin Huang ◽  
Cheng Yong Wang ◽  
L.J. Zheng ◽  
Ping Ma ◽  
...  
Keyword(s):  
Feed Rate ◽  
Printed Circuit Board ◽  
Thrust Force ◽  
Chip Morphology ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Circuit Board ◽  
Drilling Process ◽  
Drilling Force ◽  
Drill Bits

Supported holes of Printed circuit board (PCB) are drilled with two different drill bits. Drilling force (thrust force and torque) and chip morphology are examined at different cutting parameters, and the effects of the two drills are discussed. The results indicate that the drilling force and chip morphology are affected by the feed rate, spindle speed and drill shape. Thrust force increases with the increasing feed rate, and decreases with the increasing spindle speed. Optimization of drill geometry can reduce the thrust force significantly, and is effective in chip breaking which can improve the chip evacuation during the drilling process.

A Novel Feature Selection Method Based on Principal Component Analysis for Network Traffic Classification

2014 ◽  
Vol 989-994 ◽  
pp. 4510-4513
Author(s):  
Hong Zhi Wang ◽  
Jian Ping Zhang ◽  
Zun Yi Shang
Keyword(s):  
Feature Selection ◽  
Network Traffic ◽  
Feature Selection Method ◽  
Principal Component ◽  
Selection Method ◽  
Performance Comparison ◽  
Traffic Classification ◽  
Network Traffic Classification ◽  
Validation Experiment ◽  
Pca Method

In network traffic classification, by conventional PCA method, more features still exist due to uniform contribution rates for most of features. To overcome this problem, in this paper, a novel feature selection method is proposed to reduce data dimension of network traffic. A contribution rate of various features in each component is calculated by a new weight criterion. A maxima-order principle is proposed to determine feature selection. Based on three multi-class classification methods, performance comparison is conducted by actual traffic data with 10-fold cross-validation. Experiment shows that the proposed method has higher classification accuracy than conventional PCA method.

scholarly journals Research on prediction model of drilling force in CFRP internal chip removal hole drilling based on SVR

2021 ◽  
Author(s):  
Chengyang Xu ◽  
Yao Songyang ◽  
Wang Gongdong ◽  
Wang Yiwen ◽  
Xu Jiazhong
Keyword(s):  
Prediction Model ◽  
Cutting Parameters ◽  
Resin Matrix ◽  
Hole Drilling ◽  
Support Vector ◽  
Matrix Composites ◽  
Drilling Force ◽  
Unknown Parameters ◽  
Drilling Quality ◽  
Chip Removal

Abstract Drilling force is the main factor affecting the drilling quality and tool wear of carbon fiber reinforced resin matrix composites (CFRP), selecting the appropriate process parameters can effectively control the drilling force, improve the drilling quality and tool life. In this paper, in order to accurately predict and effectively control the drilling force under the process of internal chip removal hole drilling: Firstly, based on the application of support vector regression (SVR) in data analysis, the theory of the prediction model of drilling force in CFRP is given; Secondly, on the basis of the above theories, the experiment of chip removal in CFRP is designed and completed, designed and completed the CFRP internal chip removal processing drilling experiment, it provides preparation for the solution of parameters in the subsequent model; Again, based on the above theoretical analysis and experimental data, under the premise of choosing the appropriate kernel function and loss function, the sequential minimum optimization (SMO) algorithm is applied to solve the unknown parameters in the model, to complete the construction of the SVR-based CFRP internal chip removal machining drilling force prediction model; Finally, using the constructed predictive model, it is predicted that when CFRP internal chip removal hole machining is studied, The relationship between cutting parameters (speed, feed), tool parameters (drill diameter, peak angle, relief angle) and suction parameters (negative pressure) and axial force.

scholarly journals Drilling of γ-TiAl Intermetallic Alloys. Mechanistic Model to Predict Cutting Force and Torque

2018 ◽  
Author(s):  
Aitor Beranoagirre ◽  
Gorka Urbikain ◽  
Amaia Calleja ◽  
Luis Norberto López de Lacalle
Keyword(s):  
Titanium Aluminides ◽  
Mechanistic Model ◽  
Cutting Parameters ◽  
Hard Metal ◽  
Intermetallic Alloys ◽  
Drilling Force ◽  
Nickel Based Superalloy ◽  
Drilling Tools ◽  
Feasible Alternative ◽  
Drilling Conditions

Gamma titanium aluminides (γ-TiAl) present an excellent behaviour under high temperature conditions, being a feasible alternative to nickel-based superalloy components in aeroengine sector. However, considered as a difficult to cut material, process cutting parameters require special study to guarantee components quality. In this work, developed drilling mechanistic model is a useful tool in order to predict drilling force (Fz) and torque (Tc) for optimal drilling conditions determination. The model is validated for three types of Gamma-TiAl alloys. Integral hard metal end-drilling tools and different cutting parameters (feeds and cutting speeds) are tested in three different sized holes for each alloy.

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