International Journal of Sustainable Manufacturing

The quantum of minerals extracted from ore is critical for the success of mineral processing, hence the necessity to optimise the process flows in order to recover as much minerals as possible. The aim of this research was to identify bottlenecks and recovery-hampering factors within the comminution and flotation circuits of the concentrator plant at a platinum processing company in Zimbabwe. Modelling and simulation of the circuits were carried using Arena and Limn simulation software to optimise the process flows for improved throughput, maximum mineral recovery and enhanced efficiency and productivity. Alternative configurations of the layout of equipment were tested and compared with the original setup. The recommended reconfiguration of the circuits achieved increases of 2.97% in mineral recovery and 4 grams/ton in productivity resulting in a maximised output for the sustainable processing of platinum ore.

Zvikomborero B. Kapumha

Charles Mbohwa

Tawanda Mushiri

Wilson R. Nyemba

Modelling, simulation and optimisation of the comminution and flotation circuits of platinum for sustainable mineral processing

铂矿石粉碎与浮选回路的建模、仿真与优化以实现可持续矿物加工

The objective of this research is to investigate the morphology and microstructure of the chips formed during milling of Ti-6Al-4V alloy using conventional flood coolant and sustainable dry and MQL machining conditions. It was found that the chips formed in dry machining suffered a higher degree of serration indicating higher chip temperature and ineffective cooling of the chips. The bi-modal structure of Ti-6Al-4V remained the same in the bulk part of the chips. However, phase transformations were seen for all three machining conditions at the shearing plane of the chips. The chips formed in dry machining had comparatively higher percentage of β-phase due to phase transformation. For the chips obtained in flood coolant machining, the transformed β-phase possibly returned to martensitic α-phase due to rapid cooling. The MQL machined chips had the least transformation of β-phase, indicating minimal changes in mechanical properties of the machined parts in sustainable MQL machining.

Ashutosh Khatri

Muhammad P. Jahan

Investigating the microstructure and morphology of chips in dry, flood coolant and MQL machining of Ti-6Al-4V alloy

研究Ti-6Al-4V合金在干式、湿式冷却和微量润滑加工中的切屑微观结构与形态

铂矿可持续矿物加工中的破碎与浮选回路建模、仿真与优化

An efficient learning environment is required to cope with today's increasing innovation speed. Companies need methods and tools to transfer knowledge to employees in a fast way. Learners' cognitive focus should be shifted towards learning at the learning object, instead of transferring information from teaching material to the real world. Current learning environments are mostly incapable to merge physical learning tools with digital content at its point of use; therefore, the learner has to do it. Augmented reality offers the opportunity to show learning content directly on physical objects and to interact with it. Within this paper, two approaches on how to use augmented reality for teaching purposes are shown. One is for special machinery assembly of turbomachinery and the other for cocoa liquor production.

Jörg Krüger

Jan Philipp Menn

Mustafa Severengiz

Carsten Ulbrich

Jonas Wassermann

Andrea Katherija Lorenz

Günther Seliger

Augmented learning for industrial education

工业教育的增强学习

High process forces and temperatures in turning operations cause high tool wear rates. Tool wear such as flank face abrasion has direct impact on workpiece geometry and resulting surface roughness. Since tools are used until tool life criterion is reached, surface quality can vary widely over the workpiece even when constant cutting parameters are utilised. A measurement system based on laser triangulation has been developed which enables the online measurement of surface roughness on the workpiece during the turning process. Using the online surface roughness measurements, closed-loop controllers were developed in order to adapt the tool feed and the cutting velocity to retain constant surface roughness even when tool wear is progressing. An optimised process with constant cutting parameters was benchmarked to the developed processes with adaptive cutting parameters. It can be shown that parameter adaption has the potential to lead to efficient processes and increases the tool-lifetime TToollife significantly.

Eckart Uhlmann

Tobias Holznagel

Patrick Berardi

Constant surface roughness over tool-lifetime due to online process monitoring and cutting parameter adaption in turning of gear steel

由于在线过程监控和切削参数适应，齿轮钢车削过程中刀具寿命内的恒定表面粗糙度

Donald McCleeary

Nancy Diaz Elsayed

Purvee Bhatia

Automated quality detection of resource efficient 3D printing

资源高效3D打印的自动化质量检测

Robert Schimanek

Pinar Bilge

Franz Dietrich

Data fusion for improved circularity through higher quality of prediction and increased reliability of inspection

通过提高预测质量和增强检测可靠性实现改进的圆度数据融合

John W. Sutherland

Byung Gun Joung

Haiyue Wu

Aihua Huang

Matthew Triebe

Zhongtian Li

A review of research on smart manufacturing in support of environmental sustainability

支持环境可持续性的智能制造研究综述

Wahidul Biswas

Matthew Rumsa

Sustainability performance of ammonia production: the contribution of Industry 4.0 and renewables to enhance the triple bottom line

氨生产的可持续性表现：工业4.0和可再生能源对三重底线的贡献

Muhamad Zameri Mat Saman

Safian Sharif

Jia Yuik Chong

A critical review of Industry 4.0 technologies for sustainable manufacturing in remanufacturing development

再制造发展中可持续制造的工业4.0技术关键评述

ISSN	1742-7223, 1742-7231
h-index	19

Publication Information	Publisher: Inderscience，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2020，Proportion of original research papers: 0.00%，Self Citation Rate:N.A.， Gold OA Rate: 0.00%

International Journal of Sustainable Manufacturing

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Modelling, simulation and optimisation of the comminution and flotation circuits of platinum for sustainable mineral processing

Investigating the microstructure and morphology of chips in dry, flood coolant and MQL machining of Ti-6Al-4V alloy

Modelling, simulation and optimisation of the comminution and flotation circuits of platinum for sustainable mineral processing

Augmented learning for industrial education

Constant surface roughness over tool-lifetime due to online process monitoring and cutting parameter adaption in turning of gear steel

Automated quality detection of resource efficient 3D printing

Data fusion for improved circularity through higher quality of prediction and increased reliability of inspection

A review of research on smart manufacturing in support of environmental sustainability

Sustainability performance of ammonia production: the contribution of Industry 4.0 and renewables to enhance the triple bottom line

A critical review of Industry 4.0 technologies for sustainable manufacturing in remanufacturing development