Determining optimal process parameters to increase the eco-efficiency of grinding processes

Winter, Marius; Li, Wen; Kara, Sami; Herrmann, Christoph

doi:10.1016/j.jclepro.2013.10.031

Cited by 97 publications

(35 citation statements)

References 28 publications

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“…A Grey Relationship Analysis method was developed for establishing relationships among Material Removal Rate (MRR), machining power and surface roughness minimization, the Response Surface Methodology (RSM) and the Taguchi method were used for factor effect analysis . Winter et al (2014) investigated the energy performance of a grinding process. The Sensitivity Analysis method was applied to illustrate how cutting parameters, including cutting depth, cutting speed and dressing speed affect the energy consumption in order to achieve multi-objective optimization.…”

Section: Energy Consumption Modeling Based On Key Machining Parametersmentioning

confidence: 99%

A systematic approach of process planning and scheduling optimization for sustainable machining

Wang

et al. 2015

Journal of Cleaner Production

115

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Section: Energy Consumption Modeling Based On Key Machining Parametersmentioning

confidence: 99%

A systematic approach of process planning and scheduling optimization for sustainable machining

Wang

et al. 2015

Journal of Cleaner Production

115

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“…In a further investigation, the application of two different cutting fluids was considered [2]. Focus of the investigation was the influence of the cutting fluid in connection with changing process parameters on the technological grinding process results.…”

Section: Environmental and Economic Assessment Of Cutting Fluids Usedmentioning

confidence: 99%

“…), the workpiece (material structure, surface roughness, etc.) and the machining system (thermal drift and distortion of components and structures) [2]. However, there is another source of influence: the cutting fluid.…”

Section: Introductionmentioning

confidence: 99%

Influence of the cutting fluid on process energy demand and surface roughness in grinding—a technological, environmental and economic examination

Winter

Thiede

Herrmann

2014

Int J Adv Manuf Technol

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The grinding process is characterized by a large number of undefined cutting edges that are simultaneously in contact with the workpiece to achieve a fine surface finish and a high geometrical accuracy. To enable an efficient grinding process, the application of cutting fluids is an indispensable factor. This investigation shows that-depending on the cutting fluid composition-the fluid has varying influence on the achieved technological results and on the energy consumption of the process. Therefore, it is important to identify a cutting fluid which balances technological, environmental and economic requirements. Against this background, this paper investigates the technological influence of different cutting fluids regarding the achieved surface roughness and consumed energy. On the basis of experimental data, regression models are derived and used to evaluate the environmental and economic impact. As significant extension of the state of research equation-based models for the relationship of cutting fluids and energy demand as well as quantitative indications of saving potentials are provided.

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“…There is general agreement that process and product innovations in sustainability contexts primarily aim to improve the firms' eco-efficiency [31,32]. Eco-efficiency as an overarching concept has been put forward by the World Council for Sustainable Business Development and is known as creating more economic value whilst reducing resource use and environmental impact [33].…”

Section: Introductionmentioning

confidence: 99%

Sustainability-Oriented Innovation in the Minerals Industry: An Empirical Study on the Effect of Non-Geographical Proximity Dimensions

Ghassim

2018

Sustainability

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Minerals mining and processing companies (hereinafter referred to as "minerals industry") face the increasing demand for a comprehensive approach towards innovations aimed at sustainability. While the ability to learn from external sources of knowledge is at the core of this process, lack of geographical proximity and multiplicity of external sources impose challenges for mineral companies in this respect. The present study proposes that organizational, institutional and cognitive proximities could provide a platform for this industry to overcome those challenges, thereby achieving a superior innovation performance across various sustainability dimensions. Results of an analysis based on a sample of 101 mineral companies in Norway reveal that these dimensions of proximity are conducive to process, product and social innovation in different ways. More specifically, organizational proximity (diversity of non-local collaborations) and informal institutional proximity (shared cultural norms and values) spur social innovation. Furthermore, formal institutional proximity (similarity of rules and laws) and cognitive proximity (familiarity of knowledge base) support both process and product innovations. This paper provides some insights on the determinants of innovation in sustainability contexts, and contributes to the recent debate on the role of non-spatial proximity dimensions for innovation in the peripheral regions.

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Determining optimal process parameters to increase the eco-efficiency of grinding processes

Cited by 97 publications

References 28 publications

A systematic approach of process planning and scheduling optimization for sustainable machining

A systematic approach of process planning and scheduling optimization for sustainable machining

Influence of the cutting fluid on process energy demand and surface roughness in grinding—a technological, environmental and economic examination

Sustainability-Oriented Innovation in the Minerals Industry: An Empirical Study on the Effect of Non-Geographical Proximity Dimensions

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