Searching for a Pareto Optimal Solution Set of EDM Responses Applying Multi-Objective Simulated Annealing on RSM Model

2012 ◽  
Vol 622-623 ◽  
pp. 51-55
Author(s):  
Ushasta Aich ◽  
Amit Kumar Pal ◽  
Dipak Laha ◽  
Simul Banerjee
Keyword(s):  
Surface Roughness ◽  
Simulated Annealing ◽  
Material Removal ◽  
Removal Rate ◽  
Optimal Solution ◽  
Pareto Optimal Solution ◽  
Pareto Optimal ◽  
Average Surface Roughness ◽  
Average Surface ◽  
Optimal Solution Set

Simultaneous optimization of conflicting type responses like material removal rate (MRR) and average surface roughness (Ra) in stochastic type electrical discharge machining (EDM) process is a matter of concern to the process engineers. In this paper, EDM is first modeled by response surface methodology (RSM). Current setting, pulse on time and pulse off time were taken as the input parameters while material removal rate and average surface roughness as the responses. Multi-objective simulated annealing (MOSA) is then applied on these models. Pareto optimal solution set is thus developed. It would assist a process engineer to take decision regarding the optimal setting of the process parameters for a specific need-based requirement.

Ultraprecision Machining of Si3N4 Ceramics with Shear-Thickening Polishing

2016 ◽  
Vol 1136 ◽  
pp. 490-493 ◽  
Author(s):  
Min Li ◽  
Bing Hai Lyu ◽  
Ju Long Yuan ◽  
Ping Zhao
Keyword(s):  
Surface Roughness ◽  
Material Removal ◽  
Removal Rate ◽  
Abrasive Particle ◽  
Shear Thickening ◽  
Average Surface Roughness ◽  
Ultraprecision Machining ◽  
Power Law Fluid ◽  
Average Surface ◽  
Fluid Characteristics

Shear-thickening polishing (STP) technology was used on ultraprecision machining of Si3N4 ceramics. The STP slurry with diamond abrasives was prepared for STP process and its rheological property was studied. The polishing performance of Si3N4 ceramics with STP was analyzed. Results show that STP slurry with diamond abrasives exhibits non-Newtonian power-law fluid characteristics with shear-thickening effect. As using STP slurry with abrasive particle size of 0.2 μm, the material removal rate changed from 4.22 to 4.05 μm/h after 60 mins ́ polishing; and decreased from 3.88 to 3.75 μm/h after 120 mins ́ polishing. The average surface roughness reduced from Ra 107.2 to Ra 6.5 nm after 120 mins ́ polishing.

Shaping Silicon Nitride With a Carbon Dioxide Laser by Overlapping Multiple Grooves

1989 ◽  
Vol 111 (4) ◽  
pp. 315-321 ◽  
Author(s):  
R. J. Wallace ◽  
S. M. Copley
Keyword(s):  
Carbon Dioxide ◽  
Surface Roughness ◽  
Economic Evaluation ◽  
Silicon Nitride ◽  
Material Removal ◽  
Carbon Dioxide Laser ◽  
Removal Rate ◽  
Average Surface Roughness ◽  
Average Surface ◽  
Arithmetic Average

In this research, the feasibility of shaping Si3N4 by overlapping multiple grooves produced with a continuously operated CO2 laser beam is demonstrated. The relationships of process parameters such as material removal rate and arithmetic average surface roughness to machine parameters such as feed and speed have been investigated. Strategies for laser shaping are discussed and an economic evaluation of laser shaping is presented.

EFFECT OF ABRASIVE TYPE ON THE SURFACE ROUGHNESS AND MRR IN MAF OF AISI 304 STEEL

2021 ◽  
Author(s):  
MAHMUT ÇELIK ◽  
HAKAN GÜRÜN ◽  
ULAŞ ÇAYDAŞ
Keyword(s):  
Surface Roughness ◽  
Removal Rate ◽  
Three Dimensional ◽  
Steel Plates ◽  
304 Stainless Steel ◽  
Average Surface Roughness ◽  
Machining Time ◽  
Aisi 304 ◽  
Average Surface ◽  
Different Levels

In this study, the effects of experimental parameters on average surface roughness and material removal rate (MRR) were experimentally investigated by machining of AISI 304 stainless steel plates by magnetic abrasive finishing (MAF) method. In the study in which three different abrasive types were used (Al2O3, B4C, SiC), the abrasive grain size was changed in two different levels (50 and 80[Formula: see text][Formula: see text]m), while the machining time was changed in three different levels (30, 45, 60[Formula: see text]min). Surface roughness values of finished surfaces were measured by using three-dimensional (3D) optical surface profilometer and surface topographies were created. MRRs were measured with the help of precision scales. The abrasive particles’ condition before and after the MAF process was examined and compared using a scanning electron microscope. As a result of the study, the surface roughness values of plates were reduced from 0.106[Formula: see text][Formula: see text]m to 0.028[Formula: see text][Formula: see text]m. It was determined that the best parameters in terms of average surface roughness were 60[Formula: see text]min machining time with 50[Formula: see text][Formula: see text]m B4C abrasives, while the best result in terms of MRR was taken in 30[Formula: see text]min with 50[Formula: see text][Formula: see text]m SiC abrasives.

scholarly journals Selection model of work technology based on multi–criteria evaluations

2020 ◽  
Vol 164 ◽  
pp. 08030
Author(s):  
Sergey Barkalov ◽  
Pavel Kurochka ◽  
Anton Khodunov ◽  
Natalia Kalinina
Keyword(s):  
Cost Function ◽  
Optimal Solution ◽  
Budget Constraint ◽  
Pareto Optimal Solution ◽  
Pareto Optimal ◽  
Customer Preferences ◽  
Optimal Solution Set ◽  
The Cost ◽  
Comprehensive Indicator ◽  
Selection Of

A model for the selection of options for the production of work in a construction project is considered, when each option is characterized by a set of criteria. The number of analyzed options is being reduced based on the construction of the Pareto-optimal solution set. The remaining options are used to solve the problem based on the network model,\ in which the solution will be a subcritical path that meets budgetary constraints. At the same time, the proposed comprehensive indicator characterizing the preferences of the customer makes it possible to determine alternative options for performing work in the energy project in such a way that the amount of costs allocated to implement the set of work under consideration is minimal. Another statement of the problem is also considered when it is necessary to determine a strategy for the implementation of an energy project that, given a planned budget constraint, maximizes the growth of a comprehensive indicator that characterizes customer preferences in this project. The solution of the tasks is given under the assumption of the convexity of the cost function.

scholarly journals Optimization of Cutting Parameters for Improving Machining Quality Andproduction Rate in Drilling of CFRP Composites

2021 ◽  
Author(s):  
Qian Wang ◽  
Xiaoliang Jia
Keyword(s):  
Surface Roughness ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Hole Quality ◽  
Cfrp Composites ◽  
Optimization Of Cutting Parameters

Abstract Carbon fiber reinforced polymer (CFRP) composites need to be machined by operations like trimming, reaming and drilling for the dimensional tolerance and final assembly. This paper presents a cutting parameters optimization method for drilling of CFRP composites to improve hole quality and production efficiency. Hole quality indicators including exit delamination and average surface roughness are expressed as functions of cutting parameters based on the regression analysis of experimental data. Multi-objective optimization of cutting parameters for decreasing exit delamination and surface roughness, increasing material removal rate is accomplished with non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ). Optimization results are large numbers of Pareto optimal solutions widely distributed in the objective space, the reliability of Pareto optimal solutions is checked with the global convergence and spacing distance. Moreover, posterior analysis is implemented to identify key solutions of better performance from the Pareto optimal solutions to facilitate the decision-making. Results show that the identified key solutions are capable of achieving satisfactory drilling performances with different preferences for exit delamination, surface roughness and material removal rate. This study provides a feasible way to determine the appropriate cutting parameters, with which demands for multiple responses could be satisfied simultaneously in practical machining operations.

MACHINING OF HARDSTONE QUARTZ WITH MODIFIED AJM PROCESS USING HOT SiC ABRASIVES: ANALYSIS, MODELING, OPTIMIZATION, AND COST ANALYSIS

2020 ◽  
pp. 2050049
Author(s):  
SUBHADIP PRADHAN ◽  
SUDHANSU RANJAN DAS ◽  
BASANTA KUMAR NANDA ◽  
PANKAJ CHARAN JENA ◽  
DEBABRATA DHUPAL
Keyword(s):  
Surface Roughness ◽  
Material Removal ◽  
Removal Rate ◽  
Desirability Function ◽  
Optimal Solution ◽  
Optimization Techniques ◽  
Cutting Performance ◽  
Lower Percentage ◽  
Abrasive Jet Machining ◽  
Air Jet

Machining of hard and brittle materials such as engineering ceramics, glass, and silicon is a formidable task. Unlike cutting processes employing plasma and lasers, better machining capabilities of abrasive jet machining are characterized by thermally damaged free surface which is highly competitive as well as important for survival of materials in service. In this paper, an attempt has been made to combine hot abrasives and compressed air to form a hot abrasive air jet. This study aims to analyze the cutting performance in hot-abrasive jet machining (HAJM) of hardstone quartz concerning surface roughness, taper angle (TA), and material removal rate (MRR). Combined approach of Box–Behnken design — analysis of variance, response surface methodology, and statistical technique (here desirability function approach), followed by computational approach (here genetic algorithm), is, respectively, employed for experimental investigation, predictive modeling, and multi-response optimization. Thereafter, the effectiveness of proposed two multi-objective optimization techniques is evaluated by confirmation test and subsequently, the best optimal solution (i.e. at air pressure of 7[Formula: see text]kgf/cm2, abrasive temperature of [Formula: see text]C, stand-off distance of 4 mm) is used for economic analysis. Result shows that the most significant parameter is abrasive temperature for surface roughness, whereas it is pressure in case of both TA and MRR. Applications of hot abrasives in AJM process have shown attention in enhancing the cutting performance for material removal. Due to lower percentage contribution of error (6.68% to Rz, 9.89% to TA, and 6.42% in case of MRR), a higher correlation coefficient ([Formula: see text]) was obtained with the quadratic regression model, which showed values of 0.92, 0.9, and 0.93 for surface roughness, TA, and MRR, respectively.

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