Author
Huajun Cao
Other affiliations: Wuhan University of Science and Technology
Bio: Huajun Cao is an academic researcher from Chongqing University. The author has contributed to research in topics: Materials science & Machining. The author has an hindex of 23, co-authored 82 publications receiving 1665 citations. Previous affiliations of Huajun Cao include Wuhan University of Science and Technology.
Topics: Materials science, Machining, Energy consumption, Machine tool, Hobbing
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a surface grinding experiment was conducted under three lubricating conditions (cryogenic air, minimum quantity lubrication, and cryogenic air nanofluids minimum quantity lubrication) with Ti 6Al 4V as the workpiece material.
300 citations
TL;DR: In this article, a minimum chip thickness (h min ) model that considers lubrication conditions (represented by frictional angle β ) is developed according to strain gradient, as well as geometry and kinematics analyses.
296 citations
TL;DR: In this article, the authors examined the current advanced research on minimum quantity lubrication and explained the experimental phenomenon through the concept of lubrication mechanism, and the challenges and future trends of vegetable oil-based NMQL turning processing are proposed.
188 citations
TL;DR: In this paper, the authors investigated the feasibility of carbon fiber-reinforced polymer (CFRP) precision machining using minimum quantity lubrication (NMQL) and found that the surface roughness Ra, Rz, and RSm values of CNT NMQL in the feed direction (fiber direction) are reduced by 17.70%, 20.78%, and 25.40% compared with dry grinding.
176 citations
TL;DR: In this article, the authors provide a critical assessment on energy consumption in a machining system and discuss energy consumption reduction strategies to achieve sustainable manufacturing, where the authors classified energy consumption at the process, machine, and system levels.
159 citations
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01 Jan 1982
TL;DR: In this article, the authors discuss leading problems linked to energy that the world is now confronting and propose some ideas concerning possible solutions, and conclude that it is necessary to pursue actively the development of coal, natural gas, and nuclear power.
Abstract: This chapter discusses leading problems linked to energy that the world is now confronting and to propose some ideas concerning possible solutions. Oil deserves special attention among all energy sources. Since the beginning of 1981, it has merely been continuing and enhancing the downward movement in consumption and prices caused by excessive rises, especially for light crudes such as those from Africa, and the slowing down of worldwide economic growth. Densely-populated oil-producing countries need to produce to live, to pay for their food and their equipment. If the economic growth of the industrialized countries were to be 4%, even if investment in the rational use of energy were pushed to the limit and the development of nonpetroleum energy sources were also pursued actively, it would be extremely difficult to prevent a sharp rise in prices. It is evident that it is absolutely necessary to pursue actively the development of coal, natural gas, and nuclear power if a physical shortage of energy is not to block economic growth.
2,283 citations
TL;DR: The aim of this paper is to review recently published papers in reverse logistic and closed-loop supply chain in scientific journals and identify gaps in the literature to clarify and to suggest future research opportunities.
1,364 citations
TL;DR: This study provides an analysis of the drivers, barriers and practices that influence the implementation of the circular economy in the context of supply chains through a systematic review and proposes a multi-perspective framework to analyse the circular Economy’s level of implementation.
Abstract: In the last few years, the circular economy has received considerable attention worldwide because it offers an opportunity to optimise and promote sustainable production and consumption through new...
682 citations
TL;DR: This paper proposes a CNN-LSTM neural network that can extract spatial and temporal features to effectively predict the housing energy consumption and achieves almost perfect prediction performance for electric energy consumption that was previously difficult to predict.
677 citations
TL;DR: A comprehensive review of the publications in the field of reverse logistics and closed-loop supply chains is performed in this article, where the selection process is based on the articles accepted online in the Journal of Cleaner Production.
453 citations