Process optimization for maximizing bushing length in thermal drilling using integrated ANN-SA approach

Hynes, N. Rajesh Jesudoss; Kumar, R.

doi:10.1007/s40430-017-0820-y

Cited by 36 publications

(12 citation statements)

References 36 publications

(38 reference statements)

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“…Tabu-simulated annealing (TSA) introduces the Tabu mechanism during the annealing progress, which ignores the visited local optima then avoids a useless annealing operation. TSA is both equipped with the capabilities of initial solution generating from the SA and the local searching from the TS, which is theoretically possible to obtain a better optimization effect [39][40][41]. The procedure of TSA is shown in Algorithm 3.…”

Section: Tabu-simulated Annealingmentioning

confidence: 99%

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Xing

Chen

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This paper presents an experimental study on an integrated agile earth observation satellite (AEOS) scheduling problem involving the satellite memory environments of the partially erasable memory (PEM) and the holistically erasable memory (HEM). The integrated AEOS scheduling problem simultaneously considers the satellite observation and transmission events, in which the onboard memory functions as a very important connective resource. To address the memory constraints in the AEOS scheduling problem, an integrated AEOS scheduling model that is suitable for both the PEM and HEM environments is proposed in this paper. Based on commonly used construction heuristic and meta-heuristics, two hybrid approaches, Tabusimulated annealing (TSA) and Tabu late acceptance (TLA) algorithms, are adopted to solve this problem. The highlights in this paper are the formulation of novel adaptive memory constraints for the AEOS scheduling and the quantitatively scheduling comparison of separated and integrated modeling methods. Experimental results indicate that (1) the memory environment has a direct influence on the AEOS integrated scheduling results, where the PEM environment sufficiently utilizes memory resources and advances the efficiency of the AEOS a lot. (2) The integrated scheduling method enables the reduction in resource consumption and obtains a better result than the separated scheduling method, especially in the HEM environment, (3) and the hybrid meta-heuristics TLA and TSA that show better overall performance are suggested for addressing the studied AEOS integrated scheduling problem.

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Section: Tabu-simulated Annealingmentioning

confidence: 99%

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Xing

Chen

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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“…Bushing height depends upon the material and basic parameters like feed rate and spindle speed. In the experimental study three different tool point angle and galvanized material were used for drilling [32]. Simulated annealing optimization approach was used for validating the results.…”

Section: Somasundrammentioning

confidence: 99%

Investigation on Tribological Behavior During Friction Drilling Process - A Review

Alphonse¹,

Raja²,

Gupt³

2020

Tribol. Ind.

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Friction drilling is a nontraditional hole making process getting tremendous attention recently. In this process, tool is penetrated into the work piece due to the softening caused by the heat, which is developed between tool and the work piece. Materials less than 5mm thickness can be used for friction drilling. Wide varieties of materials such as tool steel, high speed steel, tungsten carbide and H13 steel can be used either with conical profile as friction drilling tool. For improving tool life nanocoating can be applied. This review mainly focuses on various optimization techniques such as Taguchi method and design of experiments, which can be utilized in friction drilling. Surface roughness, conicity and tribological response are also addressed in this study. Various parameters like cutting feed and speed, which play prominent role during friction drilling process are suitably dealt with.

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“…The results outlined the positive relationship between experimental and FEM simulation results. The past researchers have also implemented different process optimization techniques such as an artificial neural network (ANN), genetic algorithm (GA), and a hybrid approach of artificial neural network and simulated annealing (ANN-SA) to get optimum results during thermal drilling process [7][8][9]. In the present study, genetic algorithm-based optimization methodology has been implemented owing to its ability to find fit solutions as per defined heuristic in less time.…”

Section: Introductionmentioning

confidence: 99%

Thermogenesis mitigation using ultrasonic actuation during bone grinding: a hybrid approach using CEM43°C and Arrhenius model

Babbar

Jain

Gupta

2019

J Braz. Soc. Mech. Sci. Eng.

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Bone grinding has cemented its applications in the various sorts of the neurosurgeries. Generally, a rotating burr is used to remove a part of the bone to expose the tumors present underneath the bone. The abrasion caused by the grinding wheel causes a rise in temperature owing to the generation of the heat during grinding and would have severe consequences with the initiation of thermogenesis. To bridge this gap, an in-house experimental setup was developed to perform multi-pass rotary ultrasonic neurosurgical bone grinding. Three functional characteristics, namely rotational speed, feed rate, and amplitude, have been investigated using Taguchi L18 orthogonal array design. The regression equations have been obtained and validated with confirmation experiments using a random set of machining parameters. Further, machining parameters are optimized using genetic algorithm and confirmatory trials are performed using optimized conditions. The results of statistical analysis (ANOVA) revealed that the feed rate is the most significant parameter influencing the change in temperature during osteotomy. Nevertheless, the standard deviation was most affected by rotational speed. Furthermore, a comparative analysis has been carried out for conventional and rotary ultrasonic neurosurgical grinding. A hybrid approach using cumulative equivalent minutes (CEM43°C) and Arrhenius model has been used to predict the thermal damage caused to the human body's tissues during bone grinding. The results obtained have been experimentally validated, and outcomes revealed that ultrasonically actuated grinding burr may prevent osteonecrosis and neural damage duly supported with infrared thermograms and graphical plots. Keywords Bone grinding • Ultrasonic • Genetic algorithm • Infrared thermography • CEM43°C • Arrhenius equations List of symbols Ω Tissue damage function A Pre-exponential factor (s −1) E a Arrhenius activation energy (J/mol) τ Time (s) R Universal gas constant (J/mol k) K Rate constant T Actual exposure temperature (°C) T break Breaking point temperature CEM43°C Cumulative number of equivalent minutes at 43 °C F Feed rate (mm/min) A Amplitude (µm) D Depth of cut (mm) ∆T Change in temperature (°C) σ Standard deviation CG Conventional grinding RUNG Rotary ultrasonic neurosurgical grinding

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Process optimization for maximizing bushing length in thermal drilling using integrated ANN-SA approach

Abstract: with experimental bushing length value and this validates the development of thermal drilling on galvanized steel. An outstanding conformity has been detected between the predicted optimum and experimental value of bushing length.

Cited by 36 publications

References 36 publications

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Investigation on Tribological Behavior During Friction Drilling Process - A Review

Thermogenesis mitigation using ultrasonic actuation during bone grinding: a hybrid approach using CEM43°C and Arrhenius model

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