scholarly journals Modeling and Optimization of Cut Quality Responses in Plasma Jet Cutting of Aluminium Alloy EN AW-5083

Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5559
Author(s):  
Ivan Peko ◽  
Dejan Marić ◽  
Bogdan Nedić ◽  
Ivan Samardžić
Keyword(s):  
Aluminium Alloy ◽  
Process Parameters ◽  
Removal Rate ◽  
Hybrid Approach ◽  
Cutting Speed ◽  
Plasma Jet ◽  
Cutting Process ◽  
Main Process ◽  
Cut Quality ◽  
Desirability Analysis

The plasma jet cutting process has a high potential for the machining of aluminium and its alloys. Aluminium is well known as a highly thermally conductive and sensitive material, and because of that there exist uncertainties in defining process parameters values that lead to the best possible cut quality characteristics. Due to that, comprehensive analysis of process responses as well as defining optimal cutting conditions is necessary. In this study, the effects of three main process parameters—cutting speed, arc current, and cutting height—on the cut quality responses: top kerf width, bevel angle, surface roughness Ra, Rz, and material removal rate were analyzed. Experimentations were conducted on aluminium EN AW-5083. In order to model relations between input parameters and process responses and to conduct their optimization, a novel hybrid approach of response surface methodology (RSM) combined with desirability analysis was presented. Prediction accuracy of developed responses regression models was proved by comparison between experimental and predicted data. Significance of process parameters and their interactions was checked by analysis of variance (ANOVA). Desirability analysis was found as an effective way to conduct multi-response optimization and to define optimal cutting area. Due to its simplicity, the novel presented approach was demonstrated as a useful tool to predict and optimize cut quality responses in plasma jet cutting process of aluminium alloy.

scholarly journals TAGUCHI OPTIMIZATION OF BEVEL ANGLE IN PLASMA JET CUTTING PROCESS OF ALUMINIUM ALLOY 5083

2020 ◽  
Vol 23 (2) ◽  
pp. 1-6
Author(s):  
Ivan Peko ◽  
◽  
Bogdan Nedić ◽  
Marko Dunđer ◽  
Ivan Samardžić ◽  
...  
Keyword(s):  
Aluminium Alloy ◽  
Process Parameters ◽  
Cutting Speed ◽  
Plasma Jet ◽  
Cutting Parameters ◽  
Cutting Process ◽  
Taguchi Optimization ◽  
Analysis Of Means ◽  
Arc Current ◽  
Cutting Height

This paper presents Taguchi optimization of bevel angle in plasma jet cutting process of aluminium alloy EN AW 5083. Experimentations for this paper were carried out on the basis of standard L27 Taguchi's orthogonal array in which three plasma jet cutting parameters such as cutting speed, arc current and cutting height were arranged at three levels. From the analysis of means, analysis of variance and two-way interactions plot, significant plasma jet cutting process parameters and optimal combination of their levels that lead to minimal bevel angle were identified. The results showed that all three process parameters significantly affect bevel angle response. The predicted response at optimal plasma jet cutting conditions has a good fit with result of bevel angle from observed experiment.

Analysis of process efficiency in laser fusion cutting and some single- and multi-objective optimization aspects

2021 ◽  
pp. 095440892110627
Author(s):  
Miloš Madić ◽  
Mohamed H Gadallah ◽  
Dušan Petković
Keyword(s):  
Laser Power ◽  
Laser Cutting ◽  
Optimization Problem ◽  
Removal Rate ◽  
Cutting Speed ◽  
Process Efficiency ◽  
Laser Fusion ◽  
Cut Quality ◽  
Dross Formation ◽  
Laser Fusion Cutting

For an efficient use of laser cutting technology, it is of great importance to analyze the impact of process parameters on different performance indicators, such as cut quality criteria, productivity criteria, costs as well as environmental performance criteria (energy and resource efficiency). Having this in mind, this study presents the experimental results of CO2 laser fusion cutting of AISI 304 stainless steel using nitrogen, with the aim of developing a semi-empirical mathematical model for the estimation of process efficiency as an important indicator of the achievable energy transfer efficiency in the cutting process. The model was developed by relating the theoretical power needed to melt the volume per unit time and used laser power, where the change of kerf width was modeled using an empirical power model in terms of laser cutting parameters such as laser power, cutting speed, and focus position. The obtained results indicated the dominant effect of the focus position on the change in process efficiency, followed by the cutting speed and laser power. In addition, in order to maximize process efficiency and simultaneously ensure high cut quality without dross formation, a laser cutting optimization problem with constraints was formulated and solved. Also, a multi-objective optimization problem aimed at simultaneous optimization of process efficiency and material removal rate was formulated and solved, where the determined set of Pareto non-dominated solutions was analyzed by using the entropy method and multi-criteria decision analysis method, that is, the Technique for Order of Preference by Similarity to Ideal Solution. The optimization results revealed that in order to enhance process efficiency and material removal rate, while ensuring high cut quality without dross formation, focusing the laser beam deep into the bulk of material is needed with particular trade-offs between laser power and cutting speed levels at high pressure levels of nitrogen.

Effect of WEDM process parameters on machinability of Nimonic75 alloy using brass wire

2020 ◽  
Vol 17 (3) ◽  
pp. 389-397
Author(s):  
Harvinder Singh ◽  
Vinod Kumar ◽  
Jatinder Kapoor
Keyword(s):  
Process Parameters ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Content Type ◽  
Response Characteristics ◽  
Nickel Based Alloy ◽  
Pulse On Time ◽  
Pulse Off Time

Purpose This study aims to investigate the influence of process parameters of wire electrical discharge machining (WEDM) of Nimonic75. Nimonic75 is a Nickel-based alloy mostly used in the aerospace industry for its strength at high temperature. Design/methodology/approach One factor at a time (OFAT) approach has been used to perform the experiments. Pulse on time, pulse off time, peak current and servo voltage were chosen as input process parameters. Cutting speed, material removal rate and surface roughness (Ra) were selected as output performance characteristics. Findings Through experimental work, the effect of process parameters on the response characteristics has been found. Results identified the most important parameters to maximize the cutting speed and material removal rate and minimize Ra. Originality/value Very limited research work has been done on WEDM of Nickel-based alloy Nimonic75. Therefore, the aim of this paper to conduct preliminary experimentation for identifying the parameters, which influence the response characteristics such as material removal rate, cutting speed, Ra, etc. during WEDM of Nickel-based alloy (Nimonic75) using OFAT approach and found the machinability of Nimonic75 for further exhaustive experimentation work.

Study on Ultrasonic Vibration in Gas and Optimization of a Novel Process of EDM

2013 ◽  
Vol 675 ◽  
pp. 365-369 ◽  
Author(s):  
Yan Cherng Lin ◽  
Han Ming Chow ◽  
Hai Ping Tsui ◽  
Yuan Feng Chen
Keyword(s):  
Ultrasonic Vibration ◽  
Process Parameters ◽  
High Efficiency ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Main Process ◽  
Machining Parameters ◽  
Machining Performance ◽  
Dielectric Fluids ◽  
Edm Process

The aim of this study is to investigate the machining characteristics of ultrasonic vibration assisted electrical discharge machining (EDM) process using gas media as the dielectric fluids. The process parameters were designed based on Taguchi method to conduct the experimental works. The main process parameters such as machining polarity, peak current, pulse duration, air pressure, working time, and servo reference voltage were chosen to determine their effects on machining performance in terms of material removal rate and surface roughness for SKD 61 tool steels. The experimental response values were transferred to signal-to-noise (S/N) ratios, and then the significant machining parameters associated with the machining performance were examined by analysis of variance (ANOVA). Therefore, the technique of ultrasonic vibration assisted EDM process in gas media was established with the concerning features related to environmentally friendly, high efficiency, and high machining quality to fit the demands of modern manufacturing applications.

Optimization of Machining Condition in WEDM for Titanium Grade 6 Using MOORA Coupled with PCA — A Multivariate Hybrid Approach

2017 ◽  
Vol 16 (02) ◽  
pp. 81-99 ◽  
Author(s):  
Himadri Majumder ◽  
Kalipada Maity
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Hybrid Approach ◽  
Cutting Speed ◽  
Kerf Width ◽  
Average Surface Roughness ◽  
Average Surface ◽  
Titanium Grade ◽  
Pulse On Time ◽  
Pulse Off Time

This paper represents a multivariate hybrid approach, combining Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Principal Component Analysis (PCA) to optimize different correlated responses during Wire Electrical Discharge Machining (WEDM) process of titanium grade 6. The response parameters selected are the average cutting speed, average Kerf width and average surface roughness (Ra). All of them have been studied in terms of pulse-ON time, pulse-OFF time, wire feed and wire tension. As indicated by Taguchi’s signal-to-noise ratio, the optimum process parameters were achieved for the desired average cutting speed, average Kerf width and average surface roughness, respectively. At last, the optimum combination of process parameters was validated by affirmation test which gave considerably improved various quality characteristics. Confirmation test outcome revealed that multivariate hybrid approach MOORA coupled with PCA was a competent strategy to decide available cutting parameters for a desired response quality for WEDM of titanium grade 6.

OPTIMIZATION OF TURNING PARAMETERS FOR SURFACE INTEGRITY PROPERTIES ON INCOLOY 800H SUPERALLOY USING CRYOGENICALLY TREATED MULTI-LAYER CVD COATED TOOL

2019 ◽  
Vol 26 (02) ◽  
pp. 1850139 ◽  
Author(s):  
A. PALANISAMY ◽  
T. SELVARAJ
Keyword(s):  
Process Parameters ◽  
Feed Rate ◽  
Removal Rate ◽  
Cryogenic Treatment ◽  
Cutting Speed ◽  
Dry Sliding Wear ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Machining Performance ◽  
Incoloy 800H

In this work, an attempt has been made to optimize the process parameters on turning operation of INCOLOY 800H, with the aid of cryogenically treated (24[Formula: see text]h, 12[Formula: see text]h and untreated) multi-layer chemical vapor deposition (CVD) coated tools. The influencing factors like cutting speed, feed rate, depth of cut and cryogenic treatment were selected as input parameters. Surface roughness, microhardness and material removal rate (MRR) were considered as output responses. The experimentation was planned and conducted based on Taguchi L27 standard orthogonal array (OA) with three levels and four factors. Multi-criteria decision making (MCDM) methods like grey relational analysis (GRA) and technique for order preference by similarity to ideal solution (TOPSIS) have been used to optimize the turning parameters in this work. Similar results were obtained from these MCDM techniques. Analysis of variance (ANOVA) was employed to identify the significance of the process parameters on the responses. Experimental research proved that machining performance could be improved efficiently at cutting speed is 55[Formula: see text]m/min, feed rate is 0.06[Formula: see text]mm/rev, depth of cut is 1[Formula: see text]mm and 24[Formula: see text]h cryogenically treated tool. Tool wear was analyzed for the cutting tool machined at the optimum cutting condition with the help of scanning electron microscope (SEM) and energy dispersion spectroscopy (EDS). Dry sliding wear test was also conducted for the optimal condition. The percentage improvement in machining performances is 12.70%.

scholarly journals Optimization of CNC Turning Parameters in Machining EN19 using Face Centered Central Composite Design Based RSM

2020 ◽  
Vol 9 (2) ◽  
pp. 889-896
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Removal Rate ◽  
Cutting Speed ◽  
Vital Role ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Cnc Turning ◽  
Software Analysis ◽  
Central Composite

Manufacturing a defect free (quality) product is playing a vital role in today’s globally competitive, customer oriented era. Meeting the demand of the market by producing sufficient quantity is another challenge. Achieving greater production rates without compromising on quality, increases the complexity of the task. Adopting modern manufacturing methods like CNC turning are essential to meet the above requirements. EN19 is an important member in the family of alloy steels, which has a wide variety of applications in automobile and machine tool industries. Optimization of machining parameters is crucial in obtaining the required outputs such as quality and productivity. In this work, optimization of CNC turning parameters for machining EN19 alloy steel is performed. The number of experiments was designed using face centred central composite based response surface methodology with varied independent process parameters namely cutting speed, feed and depth of cut. After designing the experiments, the performance measures such as surface roughness of the test samples and Material Removal Rate (MRR) is calculated using the existing formulae. The influence of parameters on MRR and surface roughness are determined by analysis of variance (ANOVA) and for significance interactions of the process parameters are also considered. Using MINITAB 17 software analysis is performed. Further, regression analysis has been done and second order mathematical model is obtained. Using desirability approach, optimization is carried out.

scholarly journals Post-Processing of FDM 3D-Printed Polylactic Acid Parts by Laser Beam Cutting

Polymers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 550 ◽  
Author(s):  
Mahmoud Moradi ◽  
Mojtaba Karami Moghadam ◽  
Mahmoud Shamsborhan ◽  
Mahdi Bodaghi ◽  
Hamid Falavandi
Keyword(s):  
Process Parameters ◽  
Focal Plane ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Process ◽  
Poly Lactic Acid ◽  
Regression Equations ◽  
Post Processing ◽  
Fused Deposition ◽  
3D Printed

In this paper, the post-processing of 3D-printed poly lactic acid (PLA) parts is investigated. Workpieces are manufactured by fused deposition modeling (FDM) 3D printing, while they may have defects in some areas such as edges. A post-processing is introduced here for 3D-printed samples by low power CO2 laser. The thickness of the FDM samples are 3.2 mm and printed by optimum conditions. Effects of process parameters such as focal plane position (−3.2–3.2 mm), laser power (20–40 W), and laser cutting speed (1–13 mm/s) are examined based on the design of experiments (DOE). Geometrical features of the kerf; top and bottom kerf; taper; ratio of top to the bottom kerf are considered as output responses. An analysis of the experimental results by statistical software is conducted to survey the effects of process parameters and to obtain regression equations. By optimizing of the laser cutting process; an appropriate kerf quality is obtained and also optimum input parameters are suggested. Experimental verification tests show a good agreement between empirical results and statistical predictions. The best optimum sample with 1.19 mm/s cutting speed, 36.49 W power and 0.53 mm focal plane position shows excellent physical features after the laser cutting process when 276.9 μm top and 261.5 μm bottom kerf width is cut by laser.

Synthesis of Stir-Cast AA7050/5%B4C Composite and Optimization of EDM Response Parameters Using Taguchi Analysis

2020 ◽  
Vol 844 ◽  
pp. 104-113
Author(s):  
Arvind Kumar ◽  
Abhishek Kumar ◽  
Ram Naresh Rai
Keyword(s):  
Process Parameters ◽  
Mechanical Design ◽  
Removal Rate ◽  
Cutting Speed ◽  
Wear Property ◽  
Taguchi Analysis ◽  
Prime Concern ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Optimal Set

Machining of Automobile and aerospace components are the prime concern for close tolerance and eastern mechanical design. AA7050 is the established aluminium alloy for automobile and aerospace components. AA7050/B4C composite enhances specific strength and wear property of the alloy. The present paper aims to develop AA7050/5%B4C Composite through flux assisted Stir casting method. Characterized its microstructure for proper distribution and incorporation of the particles. Furthermore, non-conventional machining done on the composite through CNC die-sinking EDM with process parameters Peak current (Ip), Pulse on time (Ton), and Pulse off time (Toff). The experiments are designed by Taguchi L9 orthogonal array to obtain the machining responses like Material removal rate (MRR), Surface roughness, (SR) and cutting speed (Cs). Further the responses are optimised using Taguchi analysis considering higher the better criterion for MRR and Cs and lower the better for SR. The optimal set of process parameters obtained for MRR is X3Y3Z2, for SR X3Y2Z3 and Cs X3Y3Z2. The confirmation tests conducted with optimal set of process parameters for each response. The error estimated between predicted and experimental at optimal sets is within the acceptable threshold.

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