Results 51 to 60 of about 237 (131)

Investigation of the Combined Effects of Ultrasonic Vibration‐Assisted Machining and Minimum Quantity Lubrication on Al7075‐T6

Journal of Engineering, Volume 2024, Issue 1, 2024.
The aluminum alloy Al7075‐T6 finds extensive application in the aviation and automotive industries, where machining plays a pivotal role. Emerging techniques such as Ultrasonic Vibration‐Assisted Machining (UVAM) and Minimum Quantity Lubrication (MQL) hold promise for enhancing machining efficiency.
Ramazan Hakkı Namlu, Barış Çetin, Bahram Lotfi, S. Engin Kılıç, Oronzio Manca   +4 more
wiley   +1 more source

Deform 3D Simulation and Experimental Study in Machining of AISI 1020 Mild Steel

Journal of Engineering, Volume 2024, Issue 1, 2024.
The drilling process plays a crucial role in the assembly process of modern‐day manufactories. One of the major causes of component rejection during drilling operations is the incorrect selection of spindle speed and feed rate. Therefore, this study aimed to investigate the impact of process factors such as spindle speed and feed rate on torque, thrust
Aqib Hussain, Aamer Sharif, Muftooh Ur Rehman Siddiqi, Ghulam Hussain, Melkamu Tadesse Getachew, Riaz Muhammad, Himadri Majumder   +6 more
wiley   +1 more source

Temperature characteristics of MQL grinding of NiCo-FGM

Jin'gangshi yu moliao moju gongcheng
ObjectivesNiCo−functionally graded material (NiCo−FGM) has excellent shear and corrosion resistance and can maintain stable mechanical properties in high-temperature environments.
Bo XIN, Jiaxin QIN, Gang CAO, Wenfu ZHU
doaj   +3 more sources

Influence of Al2O3/MoS2 hybrid nanofluid MQL technique on cutting forces and surface roughness in hard turning using CBN inserts [PDF]

International Journal of Industrial Engineering and Production Research
Improving hard machining efficiency is a growing concern in industrial production, but environmentally friendly characteristics are guaranteed. Nanofluid minimum quantity lubrication (NF MQL) has emerged as a promising solution to improve cooling and ...
Tuan Ngo, Bao Ngoc Tran, Minh Duc Tran, The Long Tran, Trang Dang   +4 more
doaj  

Numerical simulation of multi-principal elements high-entropy alloy milling based on minimal quantity lubrication

Jin'gangshi yu moliao moju gongcheng
ObjectivesHigh-entropy alloys (HEA) with multi-principal elements have many excellent characteristics such as high strength, high hardness and high wear resistance, which have attracted widespread attention from scholars.
Yanwei WU, Yin LIU, Xingwei SUN, Heran YANG, Zhixu DONG, Weifeng ZHANG   +5 more
doaj   +3 more sources

Minimum quantity blended bio-lubricants for sustainable machining of superalloy: An MCDM model-based study

AIP Advances
The imperative shift toward sustainability has driven contemporary scholars to explore the lubricating and cooling properties of vegetable oils in traditional metal-cutting processes.
Binayak Sen, Sunil Kumar Kothapalli, Raman Kumar, Manjunath C, Irsyad Abdullah, Gurpartap Singh, A. Johnson Santhosh   +6 more
doaj   +1 more source

A thin wall machining for electric vehicles: A Review on Precise, Efficient and Sustainable Approach

EAI Endorsed Transactions on Energy Web
The relentless pursuit of extended range and efficiency in electric vehicles (EVs) necessitates the development of lightweight yet high-strength components.
Sunil Kumar Maddela, Hussain Mahamed Sahed Mostafa Mazarbhuiya   +1 more
doaj   +1 more source

A Fundamental Study on the Surface Failure Strength of Austempered Ductile Iron (ADI) Gears [Performance of ADI Rollers under Minimal Quantity Lubrication (MQL) Conditions]

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2004
ISHIMARU, Ryohei, ARIURA, Yasutsune, MATSUKAWA, Yoii, GOKA, Masahito   +3 more
openaire   +2 more sources

Parametric Optimization Using The Particle Swarm Optimization (PSO) Technique for Minimizing Tool Wear While Milling Inconel 718 Alloy Assisted by Minimum Quantity Lubrication (MQL)

Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation, 2016
Knut Sorby, GurRaj Singh, Vishal S. Sharma   +2 more
openaire   +1 more source

A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276. [PDF]

Sci Rep
Abdullah M, Rao ACU, Ramachandran T, Biswal S, Chaudhary SP, Singh R, Mishra A, Mann VS, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source