J Kumaraswamy, K C Anil, T R Veena, Mahadeva Reddy, K Sunil Kumar
{"title":"Influence of particulates on microstructure, Mechanical and Fractured behaviour on Al-7075 alloy composite by FEA","authors":"J Kumaraswamy, K C Anil, T R Veena, Mahadeva Reddy, K Sunil Kumar","doi":"10.1080/14484846.2023.2276987","DOIUrl":"https://doi.org/10.1080/14484846.2023.2276987","url":null,"abstract":"ABSTRACTAluminium alloys are employed in advanced applications due to their desirable combination of low density, high strength, durability, availability, and cost vs. competing materials. The characteristics described above can be increased further by employing aluminium matrix composite materials reinforced with harder particles. The hybrid aluminium alloy (Al7075) composite was made in an electric resistance furnace using the sand mould process and reinforced with alumina (Al2O3) and boron carbide (B4C) particles. The purpose of this research to investigate the mechanical characteristics of Al7075-Al2O3-B4C hybrid composites with stable Al2O3 weight percentages (4%) and varied B4C weight percentages (2–6%). Mechanical characteristics includes tensile and compressive strength, hardness, and microstructure analysis were evaluated on the pure and cast specimens. In this study, which followed the ASTM standard, the mechanical characteristics of Al7075 alloy hybrid composites were examined experimentally and validated using FEA. The results showed that when hard ceramic particles (Al2O3/B4C) were added to matrix alloy (Al7075), mechanical characteristics such as compressive strength and hardness improved while tensile strength was reduced. The static structural tensile test was successfully simulated in ANSYS. It was observed that both FEA results and analytical results were correlated.KEYWORDS: Al7075Al2O3, B4CmicrostructureMechanical behaviourFEM Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.Additional informationNotes on contributorsJ KumaraswamyDr. Kumaraswamy J is currently working as an Assistant Professor in the Dept. of Mechanical Engineering at R. L. Jalappa Institute of Technology in Doddaballapur, Bangalore Rural. He earned his Ph.D., from UBDT College of Engineering at Visvesvaraya Technological University (VTU), Belagavi, India. He has 10 years of teaching experience and serves as the Editor of the International Journal of Mechanical Engineering (IJME). He has published 19 research papers in international journals, including 2 in SCI-indexed journals and 17 in Scopus-indexed journals. His H-Index is 12, I-Index is 13, and his work has received a total of 400 citations. His research interests encompass materials science.K C AnilDr. Anil K C, Assistant Professor, Dept. of Industrial Engineering and Management, Siddaganga Institute of Technology, Tumkur. He obtained his Bachelor of Engineering degree in Industrial Engineering and Management during the year 2010 and completed his masters in production technology in the year 2013 and Ph.D. from Visvesvaraya Technological University (VTU), Belagavi, India.T R VeenaDr. T.R. Veena is working as an Assistant Professor in Dept. of Industrial Engineering and Management, Siddaganga Institute of Technology, BH Road, Tu","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"79 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135036972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paul Gregory Felix, Velavan Rajagopal, Kannan Kumaresan
{"title":"Characterisation of erythritol as a potential phase change material","authors":"Paul Gregory Felix, Velavan Rajagopal, Kannan Kumaresan","doi":"10.1080/14484846.2023.2272329","DOIUrl":"https://doi.org/10.1080/14484846.2023.2272329","url":null,"abstract":"ABSTRACTErythritol ((2 R,3S)-Butane-1,2,3,4-tetrol) is being considered as a phase change material (PCM) of interest owing to its potential applicability for solar thermal applications. But however, lack of inclusive material characterisation outcomes drives the need to bridge this research gap. In this study, erythritol was subjected to both chemical and thermal characterisation investigations. X-ray diffractometry (XRD) investigation estimated the degree of crystallinity to be 73.48% and the crystallite size to be 38.79 nm. The fourier transform infrared spectroscopy (FT-IR) investigation has identified -OH, -C-H and -CH2 to be the major functional groups. The scanning electron microscopy (SEM) investigation visualised the crystalline architecture of the PCM. The energy dispersive x-ray spectroscopy (EDAX) investigation quantified the composition of C and O in the eclectic constituency. The UV-visible spectrophotometry investigations confirmed that erythritol could be utilised for direct solar thermal applications. The thermal characterisation investigations rendered the latent heat of the PCM to be 333.48 kJ kg−1 and its peak melting temperature to be 118.18°C. The thermal stability investigations estimated the latent heat loss per cycle to be 1.1451 kJ kg−1.KEYWORDS: Characterisationphase change materialsthermal energy storage Nomenclature β=Full width at half maximum (FWHM) (radians)λ=Wave-length of x-ray (Å)ρ=Bulk density of erythritol (kg m−3)ρxr=X-ray density of erythritol (kg m−3)θ=Peak location (radians)Ag=Avagadro’s constant (or) Avagadro’s number: 6.02214076 × 10 23Cpl=Liquid phase specific heat (kJ kg−1 K)Cps=Solid phase specific heat (kJ kg−1 K)hm=Latent heat of fusion (kJ kg−1)M=Molecular weight of erythritol (g mol−1)Qm=Heat energy required for melting alone (kJ)Qls=Heat energy stored during liquid sensible heating (kJ)Qss=Heat energy stored during solid sensible heating (kJ)Tamb=Ambient temperature (K)Tpm=Peak melting temperature (K)V=Volume of the unit cell (m3)A=Absorbance (%)D=crystallite size (nm)K=Scherrer equation constantm=Mass of erythritol used (kg)Q(t)=Instantaneous heat energy stored (kJ)R=Reflectance (%)T=Transmittance (%)AcknowledgementsThe authors thank the Department of Science and Technology (DST), Government of India and the management of PSG College of Technology, Coimbatore for their financial support.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the Department of Science and Technology (DST), Government of India under Grant No.: DST/TMD/MES/2K16/20(G).Notes on contributorsPaul Gregory FelixPaul Gregory Felix holds a doctoral degree in Energy Engineering. He is currently affiliated with Sri Krishna College of Technology, Coimbatore as an Assistant Professor. He is a practising engineer and a consultant Chartered Mechanical Engineer licensed by The Institution of Engineers (India). His fields of expertise include phase ch","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":" 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135285975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Solar thermal reactor model for pyrolysis of waste plastic","authors":"Gregory McLachlan, Van Thanh Dau, Peter Woodfield","doi":"10.1080/14484846.2023.2275034","DOIUrl":"https://doi.org/10.1080/14484846.2023.2275034","url":null,"abstract":"The ability to convert waste plastic into combustible liquids and gases using solar energy could help transform the problem of disposal of non-recyclable plastic into a valuable and environmentally responsible source of fuel. The purpose of this study is to propose a practical model for a compound parabolic trough solar thermal reactor for pyrolysis of waste plastic. The model integrates predictions of energy available from solar radiation (at a given location, time of day and time of year) with parabolic trough collector orientation and efficiency, a transient energy balance for an evacuated tube reactor and pyrolysis kinetics of waste plastic. The experimental setup used to test the model includes a pyranometer, a commercial solar collector consisting of a 60 cm long evacuated tube with a compound parabolic reflector and multi-channel data loggers to collect temperature, humidity and radiation data. The solar radiation sub-model was found to be in excellent agreement with clear-sky irradiance data collected using the pyranometer. Predictions of reactor temperature and reaction rate were found to be sensitive to the concentrator aperture area, solar irradiance, type of plastic (Arrhenius kinetics) and radiation properties of the evacuated tube reactor but relatively insensitive to humidity, wind velocity and terrestrial irradiance. The model shows that even on a small scale, favourable conditions for pyrolysis of waste plastic can be achieved within a solar reactor.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136019328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Salehi, Jamal Zamani, Siavash Moayedi Manizani
{"title":"Experimental investigation of the effect of the PDMS material’s oxygen- permeable window geometry on layerless uniform 3D printing","authors":"Mohammad Salehi, Jamal Zamani, Siavash Moayedi Manizani","doi":"10.1080/14484846.2023.2268444","DOIUrl":"https://doi.org/10.1080/14484846.2023.2268444","url":null,"abstract":"ABSTRACTOne of the fundamental issues in additive manufacturing processes is layer-by-layer printing, which influences printing time and part surface quality. One way to overcome this difficulty is continuous liquid interface production (CLIP), which has enabled the mass manufacture of polymer components through continuous printing. Due to a limitation in access to this system, different oxygen gas permeable windows composed of polydimethylsiloxane polymer with variable substrate shapes were introduced and evaluated in this research. The aim of this study is to improve the printing speed of porous components in a layerless uniform 3D printing system as compared to Digital light processing (DLP). The results of these experiments show that the island container, compared to the micro-channel container, has a 107% increase in the duration of continuous printing before the separation force begins, enhances the component’s look, increases the height of the printed part by 30%, and decreases the maximum separation force by 7.4 times.KEYWORDS: Additive manufacturingcontinuous liquid interface productionoxygen control zonelayerless uniform 3D printing Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, M.Salehi, upon reasonable request.Additional informationNotes on contributorsMohammad SalehiMohammad Salehi, is a master’s student in the Mechanical Engineering Department at the University of KNTU, Tehran, Iran. He received his bachelor’s degree in Manufacturing engineering from Arak University of Technology.Jamal ZamaniJamal Zamani, Professor of Mechanics Engineering at the University of KNTU, Tehran, Iran. He received his PhD in Mechanical Engineering from Tarbiat Modares University, Iran.Siavash Moayedi ManizaniSiavash Moayedi Manizani, is a master’s student in the Mechanical Engineering Department at the University of KNTU, Tehran, Iran. He received his bachelor’s degree in Robotic Engineering from Islamic Azad University, Science and Research Branch, Tehran.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135992859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ehsan Azish, Ehsanolah Assareh, Behzad Azizimehr, Moonyong Lee
{"title":"Exergoeconomic analysis of an integrated electric power generation system based on biomass energy and Organic Rankine cycle","authors":"Ehsan Azish, Ehsanolah Assareh, Behzad Azizimehr, Moonyong Lee","doi":"10.1080/14484846.2023.2252641","DOIUrl":"https://doi.org/10.1080/14484846.2023.2252641","url":null,"abstract":"ABSTRACTThe present study investigates the thermodynamics analysis of a trigeneration system using a gasifier system. An Organic Rankine Cycle (ORC) system is used to heat recovery and consequently, supplying the cooling demand. The first and second laws of thermodynamics are used to energy and exergy analysis of the system. Some thermodynamic parameters which affect the system performance including combustion temperature, gasifier temperature, compressor isentropic efficiency, gas turbine isentropic efficiency, compressor pressure ratio, and ORC pressure are parametrically analysed and their contribution in improving the efficiency and economy of the system is investigated. To the sustainable performance of the combined system, we need an evolutionary algorithm to identify the optimum values of thermodynamic parameters that have an impact on system performance. Hence, the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is used to find the best values of decision variables. The most striking result to emerge from the optimisation.optimisation is that implementing the MOPSO algorithm improves the exergy efficiency by 5.17% and reduces the total cost of the system by 1.9%.KEYWORDS: Gasifierbiomass energyOrganic Rankine cycleMOPSO algorithmexergoeconomic analysis Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.Additional informationNotes on contributorsEhsan AzishEhsan Azish is a PhD student in Mechanical Engineering, specializing in Energy Conversion at Dezful Azad University.Ehsanolah AssarehEhsanolah Assareh Assistant Professor (PhD) at YU University (South Korea) and IAUD University (Iran), specializing in Renewable Energy.Behzad AzizimehrBehzad Azizimehr is a PhD student in Mechanical Engineering, specializing in Energy Conversion, and he works as an engineer and supervisor for Solar Energy Systems at Gamma Energy Company.Moonyong LeeMoonyong Lee is a Professor in the School of Chemical Engineering at Yeungnam University, specializing in Process optimization.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136098392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tieheng Yuan, Wenquan Sun, Tingsong Yang, Anrui He
{"title":"Research on the mechanism and law of strip tilt induced by cold rolling intermediate roll shifting","authors":"Tieheng Yuan, Wenquan Sun, Tingsong Yang, Anrui He","doi":"10.1080/14484846.2023.2259729","DOIUrl":"https://doi.org/10.1080/14484846.2023.2259729","url":null,"abstract":"ABSTRACTEnsuring product quality requires the accurate detection of strip flatness during cold rolling. For cold rolling mills with intermediate roll shifting control, the uneven stiffness induced by the shifting process can cause the strip to tilt in the mill, which can affect the accuracy of strip flatness detection. In this study, the strip tilt is defined, and a finite element model of the S6-high mill is constructed using ABAQUS software to study the strip’s deflection and flattening behaviour during the rolling process and the effect of different rolling process parameters on the strip tilt. The specific spatial position of the rolls during the rolling process is also examined, and the main structure of the mill is identified as the primary cause of strip tilt. This research provides a theoretical basis for the strip’s absolute position change in the rolling process, which can enhance the measurement accuracy of flatness detection roll in the future.KEYWORDS: Tilting of stripfinite element analysisroll deflection Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data and material supporting the findings of this work are available within the article.Additional informationNotes on contributorsTieheng YuanTieheng Yuan, Male, 1997-, Doctoral candidates, University of Science and Technology Beijing. Main research interests are: accurate control of cold rolling profile and flatness, optimal control of cold rolling automation system.Wenquan SunWenquan Sun, Male, 1982-, PhD, Associate Researcher, University of Science and Technology Beijing. Main research interests are: intelligent process modelling and control of big data, multi-process quality control of strip products, process modelling and control theory of large equipment, strip flatness and quality control of cold rolled products.Tingsong YangTingsong Yang, Male, 1996-, Postdoctor, University of Science and Technology Beijing. Main research interests are: electromagnetic assisted flatness control for cold rolling, ontelligent production stability control in continuous withdrawal process.Anrui HeAnrui He, Male, 1972-, Researcher, University of Science and Technology Beijing. Main research interests are: intelligent process control, industrial big data application, virtual simulation and digital twin.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135387435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical assessment of temperature and stresses in friction stir welding of dissimilar Mg-Al-Zn alloys","authors":"Umesh Kumar Singh, Avanish Kumar Dubey","doi":"10.1080/14484846.2023.2259725","DOIUrl":"https://doi.org/10.1080/14484846.2023.2259725","url":null,"abstract":"ABSTRACTMagnesium (Mg) alloys are used more frequently as a replacement for heavier structural materials because of their advantageous specific strength and eco-friendly attributes. Their fusion welding is a difficult process, but the friction stir welding (FSW) offers a potential solution to these issues. In this study, a thermal analysis is carried out to obtain the temperature distribution and residual stresses related to FSW of different Mg-Al-Zn series Mg alloys under different processing conditions. The highest temperature recorded at the centre of the weld was 544.04°C, while the average von Mises stress during welding was 185.07 MPa. These values were achieved with a tool rotational speed of 1000 rpm, welding speed of 40 mm/min, and a tool shoulder diameter of 21 mm. The temperatures obtained through the numerical model were validated by comparing them with experimental data. During the experimental analysis, small cracks were observed at the centre of the welded joint, resulting from the formation of MgO. The welded joint exhibited a maximum tensile strength of 234.86 MPa, which is approximately 90% of the stronger AZ31 Mg alloy.KEYWORDS: Dissimilar magnesium alloystemperatureresidual stressesmicrostructuretensile strengthfriction stir weldingthermal analysis AcknowledgementsAuthors would like to acknowledge the research assistantship provided by UGC New Delhi, India, and MNNIT Allahabad, Prayagraj, U.P., India (under TEQIP-III scheme).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsUmesh Kumar SinghUmesh Kumar Singh earned his M.Tech. and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. He has published research articles in various refereed International Journals and Conferences. His are of research is Friction Stir Welding.Avanish Kumar DubeyAvanish Kumar Dubey earned his M.Tech. and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. He has published many research articles in various refereed International and National Journals and Conferences. Currently, he is working as a Professor in the Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj (Uttar Pradesh), India. His areas of interests are Laser Material Processing and Advanced Manufacturing Processes, Modeling and Optimization of Manufacturing Processes.","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The use of artificial intelligence in driver-in-the-loop simulation: a literature review (2023)","authors":"Cádmo Augusto Rodrigues Dias, Jánes Landre Júnior","doi":"10.1080/14484846.2023.2259709","DOIUrl":"https://doi.org/10.1080/14484846.2023.2259709","url":null,"abstract":"ABSTRACTArtificial intelligence (AI) techniques are a reality in the most diverse engineering research and, intuitively, the same is true for automotive development. Meanwhile, driver-in-the-loop (DiL) simulation allows researchers to develop and test different vehicles and correlated systems without the need to build physical prototypes. Considering the increasing goal of reducing cost, project time, and most importantly the impact on the environment, the advantages of DiL simulation become even higher. In this scenario and given the growing need for analysis of considerably large sets of data obtained especially by the use of simulators, the present work undertakes a literature review regarding the use of artificial intelligence in driver-in-the-loop simulations. To do so, some keywords are defined as some boundary conditions also are, e.g. how old the paper is aiming not to consider outdated tools and technologies. Passing through three eliminatory revision steps, the full text of the final selected works is read with the aim to define where the research that uses IA and DiL simulation is aimed. The findings suggest that most of the works use the aforementioned tools to develop autonomous vehicles and their correlated systems. Finally, a discussion about this result is proposed and then a guideline for amplifying the reach of the present literature review is suggested.KEYWORDS: Artificial intelligencedriver-in-the-loop simulatorliterature reviewvehicle dynamicsvirtual simulation AcknowledgementsThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data supporting the findings of this study are available within the article or its supplementary materials.Additional informationFundingThe work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior [001].Notes on contributorsCádmo Augusto Rodrigues DiasCádmo Augusto Rodrigues Dias received the M.S. degree in Mechanical Engineering in 2021 and B.S. degree in Mechanical Engineering (minored in Mechatronics) from Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Belo Horizonte, MG, Brazil, in 2020, and currently is PhD student in PUC Minas, working at the SIM Center Laboratory. During this time, he worked on the correlation and the development of virtual vehicle models to vehicle dynamics simulations. His current research interests include vehicle dynamics, virtual simulation and vehicle simulators, artificial intelligence and software development.Jánes Landre JúniorJanes Landre Jr. received the B.S. degree in Mechanical Engineering from PUC Minas in 1987. Has specialization in Management Development Program from Fundação Dom Cabral (2004), MSc in Aeronautical and Mechanical Engineering from Instituto Tecnológico de Aeronáutica (ITA), SãoPaulo, SP","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Singh, Y. Singh, Erween Abd Rahim, T. Senthil Siva Subramanian, Abhishek Sharma
{"title":"Electric discharge machining of hybrid composite with bio-dielectrics for sustainable developments","authors":"N. Singh, Y. Singh, Erween Abd Rahim, T. Senthil Siva Subramanian, Abhishek Sharma","doi":"10.1080/14484846.2023.2249577","DOIUrl":"https://doi.org/10.1080/14484846.2023.2249577","url":null,"abstract":"","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45473527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Ambadekar, Sarita P. Ambadekar, C. Choudhari, S. A. Patil, S. Gawande
{"title":"Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective","authors":"P. Ambadekar, Sarita P. Ambadekar, C. Choudhari, S. A. Patil, S. Gawande","doi":"10.1080/14484846.2023.2249144","DOIUrl":"https://doi.org/10.1080/14484846.2023.2249144","url":null,"abstract":"","PeriodicalId":8584,"journal":{"name":"Australian Journal of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43637107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}