scholarly journals Effect of Process Modes on Tangential Component of Cutting Force during Belt Rotary Grinding of Aluminium Alloy Blanks D 16

2022 ◽  
Author(s):  
T. Stadnik
Keyword(s):  
Aluminum Alloy ◽  
Cutting Force ◽  
Cutting Forces ◽  
Tangential Component ◽  
Industrial Robots ◽  
Grinding Process ◽  
Process Stability ◽  
Belt Grinding ◽  
The Relationship ◽  
Cutting Modes

Abstract. These days, in the manufacture of units and mechanisms of ships, aircraft and other technological machines, industrial robots, long-sized products from D 16 (Standart GOST-R) aluminum alloy are used, for the processing of which a complex for belt rotary grinding has been developed. The outcome measures of the rotary belt grinding process depend on the cutting forces generated during the processing process. According to cutting forces, process stability is diagnosed, values of surface roughness indices, temperatures and cutting modes are calculated according to displacement balance equation. The article is devoted to obtaining a mathematical model establishing the relationship between the tangential component of the cutting force and cutting modes during belt rotary grinding of D 16 aluminum alloy.

An Experiment-Based Investigation on Characteristic and Model of Milling Forces during End-Milling Aluminum Alloy

2014 ◽  
Vol 494-495 ◽  
pp. 602-605
Author(s):  
Zeng Hui An ◽  
Xiu Li Fu ◽  
Ya Nan Pan ◽  
Ai Jun Tang
Keyword(s):  
Aluminum Alloy ◽  
Cutting Force ◽  
Cutting Forces ◽  
High Speed ◽  
Metal Cutting ◽  
End Milling ◽  
Influence Factors ◽  
Cutting Speed ◽  
Cutting Depth ◽  
Milling Forces

Cutting forces is one of the important physical phenomena in metal cutting process. It directly affects the surface quality of machining, tool life and cutting stability. The orthogonal experiments of cutting forces and influence factors with indexable and solid end mill were accomplished and the predictive model of milling force was established during high speed end milling 7050-T7451 aluminum alloy. The paper makes research mainly on the influence which the cutting speed, cutting depth and feed have on the cutting force. The experimental results of single factor showed that the cutting forces increase earlier and drop later with the increase of cutting speed, and the cutting speed of inflexion for 7050-T7451 is 1100m/min. As axial cutting depth, radial cutting depth and feed rate increase, the cutting force grows in different degree. The cutting force is particularly sensitive to axial cutting depth and slightly to the radial cutting depth.

Cutting Force Model of Aluminum Alloy 2014 in Turning with ANOVA Analysis

2010 ◽  
Vol 42 ◽  
pp. 242-245
Author(s):  
Yong Jie Ma ◽  
Yi Du Zhang ◽  
Xiao Ci Zhao
Keyword(s):  
Aluminum Alloy ◽  
Cutting Force ◽  
Response Surface ◽  
Cutting Forces ◽  
Cutting Parameters ◽  
Quadratic Model ◽  
Surface Model ◽  
Force Model ◽  
Machining Parameters ◽  
Cutting Force Model

In the present study, aluminum alloy 2014 was selected as workpiece material, cutting forces were measured under turning conditions. Cutting parameters, the depth of cut, feed rate, the cutting speed, were considered to arrange the test research. Mathematical model of turning force was solved through response surface methodology (RSM). The fitting of response surface model for the data was studied by analysis of variance (ANOVA). The quadratic model of RSM associated with response optimization technique and composite desirability was used to find optimum values of machining parameters with respect to cutting force values. The turning force coefficients in the model were calibrated with the test results, and the suggested models of cutting forces adequately map within the limits of the cutting parameters considered. Experimental results suggested that the most cutting force among three cutting forces was main cutting force. Main influencing factor on cutting forces was obtained through cutting force models and correlation analysis. Cutting force has a significant influence on the part quality. Based on the cutting force model, a few case studies could be presented to investigate the precision machining of aluminum alloy 2014 thin walled parts.

On Tool Instability During Machining

1991 ◽  
Author(s):  
C. Sahay ◽  
R. N. Dubey
Keyword(s):  
Cutting Force ◽  
Shear Deformation ◽  
Static Analysis ◽  
Cutting Forces ◽  
Chip Thickness ◽  
Uncut Chip Thickness ◽  
Frictional Interaction ◽  
Machining System ◽  
The Relationship

Abstract The present paper describes the role of the tool in vibrations of a machining system. The cutting force has been assumed to be constant. The shear deformation of the tool is considered. The quasi-static analysis of the situation yields a maximum allowable uncut chip thickness, which shows how the frictional interaction at the tool face and the ratio of the components of cutting forces alter this value. The relationship also expresses the effect of tool dimensions and work material on the vibration of the tool.

scholarly journals Validation and optimization of cutting parameters for Ti-6Al-4V turning operation using DEFORM 3D simulations and Taguchi method

2021 ◽  
Vol 8 ◽  
pp. 5
Author(s):  
Japheth Oirere Obiko ◽  
Fredrick Madaraka Mwema ◽  
Michael Oluwatosin Bodunrin
Keyword(s):  
Cutting Force ◽  
Feed Rate ◽  
Cutting Forces ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Interface Temperature ◽  
Depth Of Cut ◽  
Optimization Of Cutting Parameters ◽  
The Relationship

In this study, we show that optimising cutting forces as a machining response gave the most favourable conditions for turning of Ti-6Al-4V alloy. Using a combination of computational methods involving DEFORM simulations, Taguchi Design of Experiment (DOE) and analysis of variance (ANOVA), it was possible to minimise typical machining response such as the cutting force, cutting power and chip-tool interface temperature. The turning parameters that were varied in this study include cutting speed, depth of cut and feed rate. The optimum turning parameter combinations that would minimise the machining responses were established by using the “smaller the better” criterion and selecting the highest value of Signal to Noise Ratio. Confirmatory simulation revealed that using cutting speed of 120 m/min, 0.25 mm depth of cut and 0.1 mm/rev feed rate, the lowest cutting force of 88.21 N and chip-tool interface temperature of 387.24 °C can be obtained. Regression analysis indicated that the highest correlation coefficient of 0.97 was obtained between cutting forces and the turning parameters. The relationship between cutting forces and the turning parameters was linear since first-order regression model was sufficient.

scholarly journals Analysis of cutting forces during in-cut and out-cut milling of EN AC-AlSi10Mg cast aluminum alloy

Mechanik ◽  
2018 ◽  
Vol 91 (10) ◽  
pp. 871-873
Author(s):  
Józef Kuczmaszewski ◽  
Paweł Pieśko ◽  
Magdalena Zawada-Michałowska
Keyword(s):  
Aluminum Alloy ◽  
Cutting Force ◽  
Cutting Forces ◽  
High Speed ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cast Aluminum Alloy ◽  
Cast Aluminum ◽  
Technological Parameters ◽  
High Speed Cutting

The analysis of cutting forces during in-cut and out-cut milling of EN AC-AlSi10Mg cast aluminum alloy was presented. The research included measurement of the components of the total cutting force: Ff, Fp and Fc (Fx, Fy, Fz respectively) and determination of their amplitudes at a constant feed per tooth value and the adopted variable technological parameters, i.e.: depth of cut ap, milling width ae and cutting speed vc. Based on the obtained results, it was found that along with the increase in the depth of cut and the milling width, the values of selected components and their amplitudes increase for both in-cut and out-cut milling. During rise of cutting speed, it was observed that the components of the total cutting force increase to the speed vc = 450 m/min, then their values begin to decrease. This is related to the transition from conventional machining to the range of High Speed Cutting. It is important that higher values of cutting forces were noted in the case of out-cut milling instead of in-cut milling.

Cutting Mechanisms and Their Influence on Dynamic Forces, Vibrations and Stability in Micro-Endmilling

2004 ◽  
Author(s):  
Xinyu Liu ◽  
Martin B. G. Jun ◽  
Richard E. DeVor ◽  
Shiv G. Kapoor
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Elastic Recovery ◽  
Chip Thickness ◽  
Process Stability ◽  
Minimum Chip Thickness ◽  
Vibration Model ◽  
Dynamic Cutting Force ◽  
Dynamic Forces ◽  
Cutting Mechanisms

A dynamic cutting force and vibration model of the micro-endmilling process that accounts for the dynamics of the micro-endmill, influences of the stable built-up-edge, and the effects of minimum chip thickness, elastic recovery, and the elastic-plastic nature in ploughing/rubbing has been developed. Experimental validation has been performed, and the model is shown to predict the cutting force and tool vibration within an average of 12%. Using the model developed, effects of the minimum chip thickness and elastic recovery on the cutting forces and vibrations as well as process stability of the micro-endmilling process have been examined. The results indicate that the large edge radius relative to the feedrate causes the process stability to be sensitive to feedrate, resulting in the low feedrate instability phenomenon. The elastic recovery significantly increases the peak-to-valley cutting forces and enlarges the unstable feedrate range.

Improving Efficiency in Robot Assisted Belt Grinding of High Performance Materials

2014 ◽  
Vol 907 ◽  
pp. 139-149 ◽  
Author(s):  
Eckart Uhlmann ◽  
Florian Heitmüller
Keyword(s):  
Gas Turbines ◽  
High Performance ◽  
Scale Effects ◽  
Turbine Blades ◽  
Repair Process ◽  
Industrial Robots ◽  
Robot Assisted ◽  
Belt Grinding ◽  
Economy Of Scale ◽  
The Individual

In gas turbines and turbo jet engines, high performance materials such as nickel-based alloys are widely used for blades and vanes. In the case of repair, finishing of complex turbine blades made of high performance materials is carried out predominantly manually. The repair process is therefore quite time consuming. And the costs of presently available repair strategies, especially for integrated parts, are high, due to the individual process planning and great amount of manually performed work steps. Moreover, there are severe risks of partial damage during manually conducted repair. All that leads to the fact that economy of scale effects remain widely unused for repair tasks, although the piece number of components to be repaired is increasing significantly. In the future, a persistent automation of the repair process chain should be achieved by developing adaptive robot assisted finishing strategies. The goal of this research is to use the automation potential for repair tasks by developing a technology that enables industrial robots to re-contour turbine blades via force controlled belt grinding.

scholarly journals A surrogate-assisted optimization approach for multi-response end milling of aluminum alloy AA3105

2020 ◽  
Vol 111 (9-10) ◽  
pp. 2419-2439
Author(s):  
Tamal Ghosh ◽  
Yi Wang ◽  
Kristian Martinsen ◽  
Kesheng Wang
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Material Removal Rate ◽  
Cutting Forces ◽  
Material Removal ◽  
End Milling ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Data Driven ◽  
Optimal Cutting Parameters

Abstract Optimization of the end milling process is a combinatorial task due to the involvement of a large number of process variables and performance characteristics. Process-specific numerical models or mathematical functions are required for the evaluation of parametric combinations in order to improve the quality of the machined parts and machining time. This problem could be categorized as the offline data-driven optimization problem. For such problems, the surrogate or predictive models are useful, which could be employed to approximate the objective functions for the optimization algorithms. This paper presents a data-driven surrogate-assisted optimizer to model the end mill cutting of aluminum alloy on a desktop milling machine. To facilitate that, material removal rate (MRR), surface roughness (Ra), and cutting forces are considered as the functions of tool diameter, spindle speed, feed rate, and depth of cut. The principal methodology is developed using a Bayesian regularized neural network (surrogate) and a beetle antennae search algorithm (optimizer) to perform the process optimization. The relationships among the process responses are studied using Kohonen’s self-organizing map. The proposed methodology is successfully compared with three different optimization techniques and shown to outperform them with improvements of 40.98% for MRR and 10.56% for Ra. The proposed surrogate-assisted optimization method is prompt and efficient in handling the offline machining data. Finally, the validation has been done using the experimental end milling cutting carried out on aluminum alloy to measure the surface roughness, material removal rate, and cutting forces using dynamometer for the optimal cutting parameters on desktop milling center. From the estimated surface roughness value of 0.4651 μm, the optimal cutting parameters have given a maximum material removal rate of 44.027 mm3/s with less amplitude of cutting force on the workpiece. The obtained test results show that more optimal surface quality and material removal can be achieved with the optimal set of parameters.

Cutting Temperature and Cutting Forces Investigation Based on the Taguchi Design Method when High-Speed Milling of Titanium Matrix Composites with PCD Tool

2016 ◽  
Vol 836-837 ◽  
pp. 168-174 ◽  
Author(s):  
Ying Fei Ge ◽  
Hai Xiang Huan ◽  
Jiu Hua Xu
Keyword(s):  
Cutting Force ◽  
Feed Rate ◽  
Cutting Forces ◽  
High Speed ◽  
Volume Fraction ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
High Speed Milling ◽  
Radial Depth

High-speed milling tests were performed on vol. (5%-8%) TiCp/TC4 composite in the speed range of 50-250 m/min using PCD tools to nvestigate the cutting temperature and the cutting forces. The results showed that radial depth of cut and cutting speed were the two significant influences that affected the cutting forces based on the Taguchi prediction. Increasing radial depth of cut and feed rate will increase the cutting force while increasing cutting speed will decrease the cutting force. Cutting force increased less than 5% when the reinforcement volume fraction in the composites increased from 0% to 8%. Radial depth of cut was the only significant influence factor on the cutting temperature. Cutting temperature increased with the increasing radial depth of cut, feed rate or cutting speed. The cutting temperature for the titanium composites was 40-90 °C higher than that for the TC4 matrix. However, the cutting temperature decreased by 4% when the reinforcement's volume fraction increased from 5% to 8%.

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