scholarly journals Influence of Elastomer Layers in the Quality of Aluminum Parts on Finishing Operations

Metals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 289 ◽  
Author(s):  
Antonio Rubio-Mateos ◽  
Asuncion Rivero ◽  
Eneko Ukar ◽  
Aitzol Lamikiz
Keyword(s):  
Process Parameters ◽  
Feed Rate ◽  
Cutting Speed ◽  
Milling Process ◽  
Machining Process ◽  
Butadiene Rubber ◽  
Compression Tests ◽  
Compressive Behavior ◽  
Finishing Processes

In finishing processes, the quality of aluminum parts is mostly influenced by static and dynamic phenomena. Different solutions have been studied toward a stable milling process attainment. However, the improvements obtained with the tuning of process parameters are limited by the system stiffness and external dampers devices interfere with the machining process. To deal with this challenge, this work analyzes the suitability of elastomer layers as passive damping elements directly located under the part to be machined. Thus, exploiting the sealing properties of nitrile butadiene rubber (NBR), a suitable flexible vacuum fixture is developed, enabling a proper implementation in the manufacturing process. Two different compounds are characterized under axial compression and under finishing operations. The compression tests present the effect of the feed rate and the strain accumulative effect in the fixture compressive behavior. Despite the higher strain variability of the softer rubber, different milling process parameters, such as the tool feed rate, can lead to a similar compressive behavior of the fixture regardless the elastomer hardness. On the other hand, the characterization of these flexible fixtures is completed over AA2024 floor milling of rigid parts and compared with the use of a rigid part clamping. These results show that, as the cutting speed and the feed rate increases, due to the strain evolution of the rubber, the part quality obtained tend to equalize between the flexible and the rigid clamping of the workpiece. Due to the versatility of the NBR for clamping different part geometries without new fixture redesigns, this leads to a competitive advantage of these flexible solutions against the classic rigid vacuum fixtures. Finally, a model to predict the grooving forces with a bull-nose end mill regardless of the stiffness of the part support is proposed and validated for the working range.

NC Turning Process Parameters Optimization Based on Simulation Software

2012 ◽  
Vol 271-272 ◽  
pp. 452-456
Author(s):  
Shu Feng Sun ◽  
Ping Ping Wang ◽  
Xin Wu ◽  
Sen Lin
Keyword(s):  
Finite Element ◽  
Cutting Force ◽  
Process Parameters ◽  
Feed Rate ◽  
Cutting Speed ◽  
Simulation Software ◽  
Parameters Optimization ◽  
Machining Process ◽  
Optimum Process ◽  
Finite Element Software

Machining process parameters are main factors influencing machining quality and efficiency. Finite element models of tool and part are set up using finite element software Deform-3D. Variety laws of cutting force and temperature under different process parameters are simulated. The results are analyzed. Cutting force grows obviously with the growth of cutting speed (vc). However, cutting force fluctuates and decreases with the growth of cutting depth (ap) indicating the phenomenon of work hardening. Cutting force fluctuates and grows with the growth of feed rate ( f ). But the influence of feed rate ( f ) to cutting force is smaller than that of cutting speed (vc). The growths of the above mentioned three process parameters all cause the rise of temperature. Machining simulation research provides the optimum process parameters for CNC programming.

scholarly journals VARIATION OF CUTTING PARAMETERS IN THE PROCESS OF TURNING AISI 4340 STEEL ON SURFACE ROUGHNESS

SINERGI ◽  
2019 ◽  
Vol 23 (2) ◽  
pp. 139
Author(s):  
M. Sobron Yamin Lubis ◽  
Erwin Siahaan ◽  
Steven Darmawan ◽  
Adianto Adianto ◽  
Ronald Ronald
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Machining Process ◽  
Aisi 4340 Steel ◽  
4340 Steel ◽  
Metal Machining ◽  
Aisi 4340

In the metal machining process, cutting speed and feed rate are cutting parameters that affect the surface quality of the workpiece produced. The use of improper cutting parameters can cause the workpiece surface to be rough, and the cutting toolage to be shorter. This study was conducted to determine the effect of cutting parameters and the use of carbide tools on the surface roughness of metal steel workpieces. The research was carried out using the experimental method of AISI 4340 steel metal workpiece turning using cutting tool coated. Five variations of cutting speed used are: 140 m/min, 150 m/min, 160 m/min, 170 m/min, 180 m/min and three variations in feed rate: 0.25 mm/rev, 0.3 mm/rev, 0.35 mm/rev. After the turning process, the surface roughness of the workpiece is measured using a surface tester. From the results of the study, it was found that the surface roughness value was directly proportional to the feed rate and inversely proportional to the cutting speed. The smallest surface roughness value is 9.56 μm on cutting speed 180 m / min, and feed rate is 0.25 mm/rev. 

Optimization of Machining Process Parameters in Drilling of CFRP Using Multi-Objective Taguchi Technique, TOPSIS and RSA Techniques

2017 ◽  
Vol 25 (3) ◽  
pp. 185-192 ◽  
Author(s):  
K. Shunmugesh ◽  
K. Panneerselvam
Keyword(s):  
Mathematical Model ◽  
Process Parameters ◽  
Feed Rate ◽  
Cutting Speed ◽  
Weight Ratio ◽  
High Strength ◽  
Performance Characteristics ◽  
Machining Process ◽  
Taguchi Technique ◽  
Multi Objective

Carbon Fiber Reinforced Polymer (CFRP) are widely used in many engineering applications as replacement for various other elements to make use of the advantage of its high strength-weight ratio, durability and high corrosion resistance. The paper herein is an attempt to evaluate the drilling characteristics of CFRP by means of three different drill bit types (HSS, TiAlN and TiN) using Taguchi L27 (313) orthogonal array under dry condition. Firstly, the machining process parameters (cutting speed and feed rate) are optimized with multiple performance characteristics using Multi-objective Taguchi technique and TOPSIS. Secondly, mathematical model is developed to correlate the machining process parameters and the performance characteristics (surface roughness, circularity and cylindricity) using response surface analysis. ANOVA is used to validate the developed mathematical model of the responses. The investigation reveals that the results of TOPSIS technique are in good agreement with the multi-objective Taguchi technique and also feed rate is the most predominant factor which affects the responses.

CNC Machining and Simulation for Relief of Special-Shaped Stone

2012 ◽  
Vol 468-471 ◽  
pp. 69-73
Author(s):  
Yu Hou Wu ◽  
Hui Jie You ◽  
De Hong Zhao ◽  
Yan Liu
Keyword(s):  
Process Parameters ◽  
Feed Rate ◽  
Tool Path ◽  
Three Dimensional ◽  
Cutting Speed ◽  
Cnc Machining ◽  
Machining Process ◽  
Cutting Depth ◽  
Machining Center ◽  
Turn Milling

Use special-shaped stone turn-milling machining center (HTM50200) to achieve the production of complex relief. Through the ArtCAM establish the three dimensional relief model of Riverside Scene at Qingming Festival. Analysis of blank material characteristics and features of NC machining center, select the appropriate tool, calculate cutting depth 、cutting speed 、feed rate 、spindle speed and other process parameters by formulas. With ArtCAM/CAM module to make process of the preparation of the rough finishing, the semi-finishing and finishing, and then generate the tool path file. Simulation in VERICUT can optimize the potential collision, over-cutting and owe cut of the machining process, and the adoption of special-shaped stone machining center for milling to finalize production of the relief, summarize the experience in special-shaped stone processing.

scholarly journals Studi Pengaruh Kecepatan Potong Dan Kedalaman Pemotongan Terhadap Kekasaran Permukaan Benda Hasil Pembubutan Menggunakan Pahat HSS Terhadap Material St41

2021 ◽  
Vol 3 (1) ◽  
pp. 58-64
Author(s):  
Rendi Wawanto ◽  
Erwansyah - ◽  
Ariyanto -
Keyword(s):  
Surface Roughness ◽  
Experimental Method ◽  
Process Parameters ◽  
Cutting Speed ◽  
Machining Process ◽  
Turning Process ◽  
Cutting Depth ◽  
Best Value ◽  
Cutting Speeds

In the machining process is very need high precision to get a good result. One of the benchmarks of the quality of the surface of the product workmanship in the machining process is surface roughness. The research was aimed at determining the contribution of the parameters of the machining process conducted on lathes. The research was conducted using lathes with machining process parameters that vary from cutting speed, and depth of nutrition, as well as using fixed parameters of feeding. The experiment was conducted using experimental method with the amount of cutting speed value (Vc) used by St 41 material of 20-25 m/min. The values used in this study were limited to 20, 21, and 22 m/min (Vc) values and cutting depths of 0.5, 0.8, and 1.0 mm. Research shows the results of turning (Vc) 20 m / min. best depth using a cutting depth of 0.5 mm with a surface roughness value (Ra) of 2,743 μm, and (Vc) of 21 m/min, the best depth using a depth of 0.5 mm with a surface roughness value (Ra)1,495 μm, and using (Vc) 22 m/min, the best depth uses a depth of 0.8 mm with a surface roughness value (Ra)1,376 μm. the best value of the turning process uses 3 cutting speeds and 3 cutting depths at the turning process using (Vc) 22 m/min with a depth of 0.8 mm with a surface roughness value (Ra)1,376 μm

scholarly journals Optimization of Process Parameters with Minimum Thrust Force and Torque in Drilling Operation Using Taguchi Method

2014 ◽  
Vol 6 ◽  
pp. 925382 ◽  
Author(s):  
Suleyman Neseli
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Feed Rate ◽  
Thrust Force ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Helix Angle ◽  
Machining Process ◽  
Low Thrust ◽  
Taguchi Optimization

This research outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in drilling of AISI 1040 steel. The drilling parameters evaluated are cutting speed, feed rate, and helix angle. Series of experiments are conducted to relate the cutting parameters on the thrust force and torque. L27(313) orthogonal array, signal-to-noise ratio is employed to analyze the influence of these parameters on thrust force and torque during drilling. Analysis of variance (ANOVA) is used to study the effect of process parameters on machining process. The study shows that the Taguchi method is suitable to solve the stated problem with the minimum number of trials. The main objective is to find the important factors and combination of factors that influence the machining process to achieve low thrust force and torque. The analysis of the Taguchi method indicates that the feed rate is the most significant factor affecting the thrust force, while the cutting speed contributes the most to the torque.

scholarly journals Optimization of Drilling Process Parameters Via Taguchi, TOPSIS and RSA Techniques

2017 ◽  
Vol 62 (3) ◽  
pp. 1803-1812 ◽  
Author(s):  
K. Shunmugesh ◽  
K. Panneerselvam
Keyword(s):  
Process Parameters ◽  
Feed Rate ◽  
Research Work ◽  
Cutting Speed ◽  
High Strength ◽  
Drilling Process ◽  
Drill Bit ◽  
Influence Of Process Parameters ◽  
Light Trucks ◽  
Cfrp Composite

AbstractCarbon Fiber Reinforced Polymer (CFRP) is the most preferred composite material due to its high strength, high modulus, corrosion resistance and rigidity and which has wide applications in aerospace engineering, automobile sector, sports instrumentation, light trucks, airframes. This paper is an attempt to carry out drilling experiments as per Taguchi’s L27(313) orthogonal array on CFRP under dry condition with three different drill bit type (HSS, TiAlN and TiN). In this research work Response Surface Analysis (RSA) is used to correlate the effect of process parameters (cutting speed and feed rate) on thrust force, torque, vibration and surface roughness. This paper also focuses on determining the optimum combination of input process parameter and the drill bit type that produces quality holes in CFRP composite laminate using Multi-objective Taguchi technique and TOPSIS. The percentage of contribution, influence of process parameters and adequacy of the second order regression model is carried out by analysis of variance (ANOVA). The results of experimental investigation demonstrates that feed rate is the pre-dominate factor which affects the response variables.

Characterisation, Performance and Optimisation of Nanocellulose Metalworking Fluid (MWF) for Green Machining Process

2021 ◽  
Vol 18 (4) ◽  
pp. 9188-9207
Author(s):  
Mahendran Samykano ◽  
J. Kananathan ◽  
K. Kadirgama ◽  
A. K. Amirruddin ◽  
D. Ramasamy ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Surface Roughness ◽  
Tool Wear ◽  
Feed Rate ◽  
Cutting Speed ◽  
Machining Process ◽  
Alumina Nanoparticles ◽  
Working Fluid ◽  
Depth Of Cut ◽  
Nanoparticle Concentration

The present research attempts to develop a hybrid coolant by mixing alumina nanoparticles with cellulose nanocrystal (CNC) into ethylene glycol-water (60:40) and investigate the viability of formulated hybrid nanocoolant (CNC-Al2O3-EG-Water) towards enhancing the machining behavior. The two-step method has been adapted to develop the hybrid nanocoolant at various volume concentrations (0.1, 0.5, and 0.9%). Results indicated a significant enhancement in thermal properties and tribological behaviour of the developed hybrid coolant. The thermal conductivity improved by 20-25% compared to the metal working fluid (MWF) with thermal conductivity of 0.55 W/m℃. Besides, a reduction in wear and friction coefficient was observed with the escalation in the nanoparticle concentration. The machining performance of the developed hybrid coolant was evaluated using Minimum Quantity Lubrication (MQL) in the turning of mild steel. A regression model was developed to assess the deviations in the tool flank wear and surface roughness in terms of feed, cutting speed, depth of the cut, and nanoparticle concentration using Response Surface Methodology (RSM). The mathematical modeling shows that cutting speed has the most significant impact on surface roughness and tool wear, followed by feed rate. The depth of cut does not affect surface roughness or tool wear. Surface roughness achieved 24% reduction, 39% enhancement in tool length of cut, and 33.33% improvement in tool life span. From this, the surface roughness was primarily affected by spindle cutting speed, feed rate, and then cutting depth while utilising either conventional water or composite nanofluid as a coolant. The developed hybrid coolant manifestly improved the machining behaviour.

Experimental Evaluation of Surface Roughness in Orthogonal Micro-Milling Processes

2012 ◽  
Vol 217-219 ◽  
pp. 1912-1916
Author(s):  
Ji Hua Wu
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Experimental Approach ◽  
Critical Role ◽  
Cutting Speed ◽  
Chip Thickness ◽  
Micro Milling ◽  
Surface Model ◽  
Material Grain Size

Surface roughness plays a critical role in evaluating and measuring the surface quality of a machined product. Two workpiece materials have been investigated by experimental approach in order to gain a better understanding of their influence on the obtained surface roughness in the micro-milling processes. The experimental results show that: surface topography is completely different for different materials at the same cutting speed and feed rate; surface roughness increases with an increase of material grain size. Surface roughness decreases to a lowest value, and then increases with an increase of the feed rate. A new surface model to illustrate the influence of material and uncut chip thickness was developed. The model has been experimentally validated and shows more promising results than Weule’s model.

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