Dr Rachayya Arakerimath
@jspmrscoe.edu.in
Professor and Head-Mechanical Engineering
JSPM's Rajrshi college of Engineering
EDUCATION
ME. PhD- Mechanical Engg
RESEARCH INTERESTS
Automotive systems and Heat recovery, CAD CAM CAE Based Optimization, Advanced Mfg systems and Automation, Expert Systems and Industry 4.0
FUTURE PROJECTS
Hybrid Vehical Design and Fuel Testing
Applications Invited
CAD CAM CAE Based System Design
Applications Invited
Optimum Product Design and Manufacturing
Applications Invited
Scopus Publications
Scopus Publications
Ashish Rajkumar Devshette, Jitendra Atmaram Hole, Rachayya R Arakerimath, Ashish Kumar, and Sanjay Singh Rathore
IOP Publishing
Abstract Automotive industries showed keen interest in the temperature control system of batteries. There exist varieties of commercial electric vehicles, which offer battery cooling technologies with active cooling systems as potential solutions. The creation of such cooling devices would need careful consideration of the physical structure and arrangement of the battery cells. However, in any case, it is fundamental need to have a battery temperature control mechanism for the safe operational working of all batteries. In the industry of automotive and conversion of electric vehicles, there exists a strong passion for Lithium-ion battery temperature control. There is already a considerable variety of commercial electric vehicles on the market, offering battery cooling technologies that rely on active-removal cooling systems as possible solutions. The development of such cooling systems will definitely demand that the battery pack’s physical architecture and structure be carefully re-examined. In the final analysis, it would clearly come out that in fact a battery temperature control will be necessary to have all batteries function in the ‘safety’ mode. The current study aims to review cooling strategies using air and thermal energy storage systems to improve the performance of electric and hybrid vehicles. The comparison of cooling capacity of the battery thermal management system (BTMS) with various designs is thoroughly examined. This review article tries to offer helpful guidance for designing the air-cooled and phase change material (PCM) cooled BTMS with optimal performance.
Rachayya R Arakerimath, Sahil N Gaikwad, Kuldeep D Bhadane, and Ratnesh R Bopalkar
IEEE
The integration of AI-based parametric optimization into the Stereolithography process represents a significant advancement in additive manufacturing. By moving beyond traditional empirical approaches, manufacturers can leverage AI to enhance print quality, reduce production times, and improve material efficiency. With continued advancement, this technology has the potential to completely transform the design and production landscape, opening the door to more creative uses in a wide range of industries. The synergy between AI and SLA will not only drive efficiency but also unlock new possibilities for creativity and design complexity with increased efficiency and reduced waste in production.
Dipak Kale, Rachayya Arakerimath, Khizar Ahmed Pathan, and Sher Afghan Khan
Akademia Baru Publishing
Wet steam flow produces big water droplets in the low-pressure zone of a steam turbine blade. These droplets clash with subsequent blades, resulting in a strong impact that is evident as erosion. Titanium and its alloys are valuable for technical applications such as turbine blades because of their low density, high strength, and exceptional corrosion resistance. The boron carbide(B4C) has a high hardness but a low strength; therefore, it's exciting to investigate water erosion of Ti/ B4C and SiC combination. The effect of 1 wt% B4C and 1, 3, 5, and 7 wt% SiC particles on water droplet erosion of Ti composite was studied using the SPS method for 5 minutes at 1200 oC temperature and 50 MPa pressure. The L9 orthogonal array with four levels of parameters of the Taguchi method is used to conduct the experiments. By measuring the weight of the specimen at interval time, the erosion behavior with time is obtained with different nozzle diameters. The effect of material and experimental parameters on erosion resistance is studied, and an empirical relation is developed.
Pavankumar R. Sonawane, Deepak M. Deshmukh, Amar Gajbhiye, Krishan Pandey, Sunil A. More, and R. R. Arakerimath
Springer Science and Business Media LLC
Vilas Umbare and Rachayya Arakerimath
IOP Publishing
Abstract In present study, six samples of ICORENE 1613 LLDPE fuel tank with homogeneous composition were analysed for six different PIAT values of 165 °C, 170 °C, 180 °C, 190 °C, 195 °C and 200 °C in the first stage. In the second phase of the study, the samples with optimum PIAT values were considered for the Tensile and Flexural strength study at different temperatures. Peak Internal Air Temperature (PIAT) values were obtained using the rotolog instrument, while the tensile and flexural tests were performed utilizing the Universal Testing Machine for accurate characterization of the material properties. The tensile and flexural strength were carried out at three different operating temperatures considering the tank will be subjected to variable operating conditions in real world exercise. The maximum value for both all the process parameters studied were observed at PIAT value of 195 °C, the same has been chosen for the further investigation. The failure data obtained from these two destructive testing will be helpful to mitigate the defects during the process. The tensile test results indicate that the LLDPE sample exhibits the maximum tensile strength of 17.3 MPa at 23 °C and the highest elongation percentage at failure, which is 182.7% at 80 °C. Moreover, the sample shows a remarkable flexural strength of 75.97 MPa at 23 °C, which is indicative of its superior ability to resist deformation under applied bending stresses.
Pavan Bhaskar Chaudhari, Rachayya Arakerimath, Khizar Ahmed Pathan, and Sher Afghan Khan
Akademia Baru Publishing
The stringent norms imposed by the government to reduce emissions to the environment have forced all engine manufacturers to reduce engine emissions. Carbon monoxide and NOx emissions from diesel engines are topics of significant consideration. This causes climate change and natural calamities. The current paper focuses on the comparative performance optimization of single-cylinder engines in DI and HCCI mode fitted with custom-designed catalytic converters in Series configuration using Taguchi regression Analysis based on experimental results obtained for series combination. The present work tested a diesel engine in both DI and HCCI modes with catalytic converters in series configurations with various monolith lengths and compression ratios. The test results are then analyzed using the Taguchi method and regression analysis. Overall, BTE is higher for HCCI mode than DI mode with the series arrangement of catalytic converters in the 24% to 35% range. Meanwhile, BSFC is lower for HCCI mode, in the 20% to 64% range. Hydrocarbon emission is higher, starting from 15% to 48%. The NOx emissions are lower for lower load, but on full load, they are more than those in DI Mode. CO emissions are also Higher for HCCI mode in the 12% to 30% range.
Anuja H. Karle, Namdev Ashok Patil, and Rachayya Arakerimath
Springer Nature Singapore
Govind Waghmare and Rachayya Rudramuni Arakerimath
Emerald
PurposeThis study aims to identify the significant factors of the multi-dimpling process, determine the most influential parameters of multi-dimpling to increase the dimple sheet strength and make a low-cost model of the multi-dimpling for sheet metal industries. To create an empirical expression linking process performance to different input factors, the percentage contribution of these elements is also calculated.Design/methodology/approachTaguchi grey relational analysis is used to apply a new effective strategy to experimental data in order to optimize the dimpling process parameters while taking into account several performance factors and low-cost model. In addition, a statistical method called ANOVA is used to ensure that the results are adequate. The optimal process parameters that generate improved mechanical properties are determined via grey relational analysis (GRA). Every level of the process variables, a response table and a grey relational grade (GRG) has been established.FindingsThe factors created for experiment number 2 with 0.5 mm as the sheet thickness, 2 mm dimple diameter, 0.5 mm dimple depth, 8 mm dimples spacing and the material of SS 304 were allotted rank one, which belonged to the optimal parameter values giving the greatest value of GRG.Practical implicationsThe study demonstrates that the process parameters of any dimple sheet manufacturing industry can be optimized, and the effect of process parameters can be identified.Originality/valueThe proposed low-cost model is relatively economical and readily implementable to small- and large-scale industries using newly developed multi-dimpling multi-punch and die.
Prakash Shinde and R. R. Arakerimath
AIP Publishing
Vilas Umbare and Rachayya Arakerimath
Springer Science and Business Media LLC
Prakash Shinde and R. R. Arakerimath
AIP Publishing
Satish A. Patil and R. R. Arakerimath
AIP Publishing
Pankaj Kumar Jha and Rachayya Arakerimath
AIP Publishing
Sharad B. Masal and Dr.Rachayya. R Arakerimath
Campli Srinidhi, Mayur Jawale, Vedant Utikar, Shraddha Jadhav, Madhusudhan Acharya, Rachayya Arakerimath, Jitendra A. Hole, and Shylesh V. Channapattana
Wiley
Gurunath Shinde and Rachayya Arakerimath
Association of Metallurgical Engineers of Serbia
This research work carried out friction stir welding (FSW) of dissimilar aluminum AA3003-H12 and copper C12200-H01, with wide application in the refrigeration and heat exchanger industry. The main aim of this study is to investigate the influence of process parameters, i.e. pin type (PT), weld speed (WS), rotational speed (RPM), and shoulder diameter (SD) on impact energy (IE) of Al-Cu welded joint. The experimental study used the full factorial method with mixed levels of process parameters. Analysis of Variance (ANOVA) determines the significance of process parameters on impact energy. The results of the analysis of variance (ANOVA) shows that rotational speed (RPM) is the most influential process parameter contributing to the impact energy (IE) of dissimilar Al-Cu weld joint. The response optimizer tool in Minitab 18 software gives optimum weld conditions of process parameters for better weld performance. The FSW experiment with a tapered pin, weld speed of 16 mm/min, rotational speed of 1120 rpm, and shoulder diameter of 22.5 mm obtained the maximum impact energy value of 6.5367 J. The fine-grain recrystallization formed intermetallic compounds in the stir zone (SZ). These intermetallic compounds give a maximum microhardness of 382.24 Hv (0.1). The microstructure analysis of the stir zone (SZ) shows an equiaxed grain structure on the Cu side, while the Al side shows a fine recrystallized grain structure.
Satish A. Patil and R. R. Arakerimath
AIP Publishing
Gurunath V Shinde and Rachayya R Arakerimath
SAGE Publications
In current research work, an attempt has been made to join dissimilar metals by employing friction stir welding (FSW), i.e., AA3003-H12 (aluminium alloy) and C12200-H01 (copper alloy). The experiments are designed as per full factorial design at different process parameters, namely tool pin profiles, rotational speed, welding speed, and shoulder diameter while the ultimate tensile strength (UTS), yield strength (YS), and percentage elongation (% E) are considered as a performance parameter. Moreover, a statistical tool, i.e., analysis of variance (ANOVA) is also utilized to check the adequacy of the results. It is observed that the higher UTS, % E and YS are obtained by employing a taper pin profile tool at a rotational speed of 1800 rpm, a welding speed of 16 mm/min, and a shoulder diameter of 22.5 mm. The ANOVA results showed that the rotational speed is the most significant factor for current research work. In addition, a scanning electron microscope is utilized for microstructural analysis of welded joints. It is witnessed that the minimum grain size, i.e., 4 microns, is obtained for highest strength specimen and the maximum grain size is obtained for the lowest strength specimen i.e., 31 microns. Besides this, the swirling of cu particle is also observed from advancing side (AS) to the retreating side (RS). Moreover, energy-dispersive X-ray spectroscopy (EDS) indicates the formation of intermetallic compounds i.e. Al2Cu, Al9Cu4 at nugget zone (NZ). The hardness is found to be higher at NZ due to the presence of Al-Cu intermetallic.
Satish A Patil, , Dr. Racyya. R. Arakerimath, and
Journal of Engineering Research
Biodiesel is obtained using the transesterification process from renewable oils obtained from vegetable and animal fats. The transesterification process is used to produce biodiesel from Karanja oil with heterogeneous catalyst Calcium Oxide (CaO). In this research work, the Taguchi method has used for the optimization of the transesterification process using five input parameters and five levels for the development of orthogonal arrays. Experiments have conducted as per the L25 orthogonal array developed by Taguchi and yields obtained have been noted. The results obtained by experimentation have been analyzed by Minitab software. The results from Minitab have compared with the results obtained using ANN script analytically as well as graphically. The maximum value of yield has 88% at optimum parametric value namely molar ratio 20% with the addition of 3% Calcium oxide catalyst at process temperature 65ºC for 60 minutes reaction time and agitation speed 600 rpm.
G.S. Waghmare and R.R. Arakerimath
Elsevier BV
Abstract In this paper, multipoint dimple sheet forming process parameters is investigated in terms of optimization using finite element technique and Taguchi method. Dimples are produced using punch and die press braking operation. Dimple sheet formed using roller is very complex due to nonlinear structure, costly and widely used in construction, in many industrial applications. In this work, Ansys simulation software is used for accurate and critical understanding effect of sheet thickness, diameter of dimple, depth of dimple and distance between dimples in dimple forming process. The major objective is to determine the effect of the process parameters to obtain the optimal multipoint forming design of the dimple sheet. The hemispheric punch chosen for dimple is based on commonly used for various dimple sheet applications. Process parameters are sheet thickness, diameter of dimple, depth of dimple and distance between dimples has been analyzed using Taguchi method. The material selected for this work is structural steel. The results obtained indicate that the parameter sheet thickness is the most effective one on forming force. Tensile test of optimal parameter, result predicts that the dimple sheet strength is greater than that of the plain sheet.
S. A. Patil and R. R. Arakerimath
Engineering, Technology & Applied Science Research
Biodiesel is a renewable, biodegradable, and efficient fuel that can be blended with petro-diesel in any proportion. The noise in the engine resulting from the combustion has a direct effect on the engine’s performance. Many studies have examined the engines’ vibration and noise when using diesel and biodiesel blends. This study examines the optimization of diesel blends, load, and compression ratio in the aspect of reducing noise on a Kirloskar single-cylinder diesel engine. Noise was measured at the engine and its exhaust on a computerized setup and for different loads. The experimental results showed that a blend with 15% biodiesel, at 7kg load, and 18 compression ratio produced the lowest noise. Moreover, the Taguchi method was utilized, and experimental results were validated by an ANN
Dipak Sudam Patil, Rachayya R. Arakerimath, and Pramod V. Walke
Emerald
Purpose This paper aims to present an experimental investigation and optimization of a low-temperature thermoelectric module to examine the influence of the main operating conditions. Design/methodology/approach In this work, a comparison was made by varying the various operating parameters such as heat source temperature, the flow rate of the cold fluid and the external load resistance. A Taguchi method was applied to optimize the parameters of the system. Three factors, including the external load resistance, mass flow rate of water (at the heat sink side) and heater temperature (at the heat source side) along with different levels were taken into account. Analysis of variance was used to determine the significance and percentage contribution of each parameter. Findings The experimental results show that the maximum power output 8.22W and the maximum conversion efficiency 1.11 per cent were obtained at the heater temperature of 240°C, the cold fluid mass flow rate of 0.017 kg/s, module temperature difference of 45°C and the load resistance of 5 O. It was observed that the optimum parameter levels for maximum power output determined as 5 O external load resistance, 0.17 kg/s mass flow rate of water and 240°C heater temperature (A1B3C3). It reflects that these parameters influence on the optimum conditions. The heater temperature is the most significant parameter on the power output of the thermoelectric module. Originality/value It is clear from the confirmation test that experimental values and the predicted values are in good agreement.
Dipak S. Patil, Rachayya R. Arakerimath, and Pramod V. Walke
Elsevier BV
Abstract Around 60–70% of the fuel energy in an internal combustion engine is lost as waste heat through engine exhaust and coolant. Hence, waste heat recovery techniques can be used to increase the efficiency of the engine. Thermoelectric systems are widely used for converting heat energy to electric energy. A considerable attention of researchers has been drawn by the thermoelectric generator, for the waste heat recovery from engine exhaust. The thermoelectric generator is one of the promising green energy source and the most desirable option to recover useful energy from engine exhaust. A high-efficiency heat exchanger, which is an integral part of the thermoelectric generator, is necessary to increase the amount of heat energy extracted from engine exhaust at the cost of acceptable pressure drop. The present work is a summary of thermoelectric materials, and heat exchanger studies on heat transfer rate, thermal uniformity, and pressure drop. The heat exchangers with different internal structures enhance heat transfer rate and thermal uniformity, which increase the power output and the conversion efficiency of the thermoelectric generator. The presence of flow-impeding inserts/internal structures results in an adverse increase in pressure drop and has a negative effect on the performance of waste heat source.
Publications
Transesterification optimization using calcium oxide from karanja oil and results validation by ANN
Satish R Arakerimath
Publication date 2021/10
Journal-Journal of Engineering Research (kuwait)-Scopus Indexed