Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Priyaranjan Sharma"'
Autor:
Gajanan M. Naik, Priyaranjan Sharma, Ramesh S., Mukesh Tak, Priyaranjan Samal, Nidhin Raj A., Gajanan Anne
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
The present study investigates the effect of die parameters and the coefficient of friction on the equivalent plastic strain (PEEQ) during Equal Channel Angular Extrusion (ECAE). The purpose is to optimize the die parameters to enhance material flow,
Externí odkaz:
https://doaj.org/article/d1b9628353c340fea5a84643bebb1327
Autor:
Priyaranjan Samal, Himanshu Raj, Arabinda Meher, B. Surekha, Pandu R. Vundavilli, Priyaranjan Sharma
Publikováno v:
Lubricants, Vol 12, Iss 6, p 213 (2024)
The requirement for high-performance and energy-saving materials motivated the researchers to develop novel composite materials. This investigation focuses on utilizing aluminum alloy (A383) as the matrix material to produce hybrid metal matrix compo
Externí odkaz:
https://doaj.org/article/0798726c5f7844978be049b98af18fbf
Autor:
Priyaranjan Sharma, Hargovind Soni, Sunita Sethy, Sudhansu Ranjan Das, Mohammed Y. Tharwan, Sharaf Al Sofyani, Abdel-Hamid I. Mourad, Ammar Elsheikh
Publikováno v:
Journal of Materials Research and Technology, Vol 23, Iss , Pp 5723-5732 (2023)
Stainless steel 304 is an iron-chromium-nickel-based alloy developed for structural applications. This alloy exhibits good mechanical strength along with excellent resistance to various atmospheric conditions. Due to the increasing demand for complex
Externí odkaz:
https://doaj.org/article/06df2b3dbb13466b9bf8503cc0530c7f
Publikováno v:
Materials Research Express, Vol 11, Iss 10, p 106519 (2024)
Friction stir welding (FSW) represents a solid-state welding method renowned for producing high-quality joints, particularly in aluminum alloys. This study focuses on enhancing weld strength in the aerospace alloy AA6082-T6. The research involved con
Externí odkaz:
https://doaj.org/article/ccddf2a8224c4061b9b98a92a392113f
Autor:
Gajanan Anne, Nagaraj Bhat, Vishwanatha H M, Ramesh S, Maruthi Prashanth B H, Priyaranjan Sharma, Aditya Kudva S, C Jagadeesh, Yashwanth Nanjappa
Publikováno v:
Materials Research Express, Vol 11, Iss 9, p 096504 (2024)
Light alloys play a crucial role in realizing the national strategy for energy conservation and emission reduction, as well as promoting the upgrading of manufacturing industries. Mg/Al composite laminates combine the corrosion resistance and ductili
Externí odkaz:
https://doaj.org/article/f60973f04d1c4bcca30419d7f5117da0
Autor:
Gajanan Anne, Ramesh S, Priyaranjan Sharma, Maruthi Prashanth B H, Aditya Kudva S, Prakash Kumar, Sandeep Sahu, Nagaraj Bhat
Publikováno v:
Materials Research Express, Vol 11, Iss 5, p 056524 (2024)
In this study, friction stir processing (FSP) is proposed for the treatment of AZ61 alloy, and an artificial neural network is built to predict and compare the experimental wear results. The effects of different processing parameters, including spind
Externí odkaz:
https://doaj.org/article/fc6937facfa341d899cd73bc0c3b28fe
Autor:
Maruthi Prashanth B H, Ramesh S, P S Shivakumar Gouda, Gajanan M Naik, Priyaranjan Sharma, C Jagadeesh, Mahantesh M Math, Gajanan Anne
Publikováno v:
Materials Research Express, Vol 11, Iss 5, p 055301 (2024)
Natural fiber composites are increasingly gaining popularity as a cost-effective and environmentally friendly alternative to synthetic fibers. Incorporating a variety of fibers enhances mechanical properties. The arrangement of fibers plays a crucial
Externí odkaz:
https://doaj.org/article/b9a9f8a628084c61835f6178e25cd41e
Autor:
Smita Padhan, Naresh Kumar Wagri, Lalatendu Dash, Anshuman Das, Sudhansu Ranjan Das, Mohammad Rafighi, Priyaranjan Sharma
Publikováno v:
Lubricants, Vol 11, Iss 2, p 49 (2023)
The machined surface integrity in the turning of hardened steels is adversely influenced by heat generation and friction which requires pacification of the temperature by the effective cooling-lubrication approach and cutting tool performance. The pr
Externí odkaz:
https://doaj.org/article/1efb84e738c943c1940bbc9edcfefd88
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 4, Iss 2, p 44 (2020)
This paper deals with the development and comparison of prediction models established using response surface methodology (RSM) and artificial neural network (ANN) for a wire electrical discharge machining (WEDM) process. The WEDM experiments were des
Externí odkaz:
https://doaj.org/article/2e0d2daaca9d4316992bbce3ff8ae524
