Specific energy based evaluation of machining efficiency

Balogun, Vincent A.; Edem, Isuamfon F.; Adekunle, Adefemi A.; Mativenga, Paul

doi:10.1016/j.jclepro.2015.12.106

Cited by 58 publications

(23 citation statements)

References 33 publications

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“…Based on these, considering this situation, according to Balogun et al [50], a cutting mechanism tends to be value adding and sustainable machining. Thus, it can be considered that the elastic deformation of the workpiece during machining process decreased quickly and a perfect chip was generated.…”

Section: Discussionmentioning

confidence: 99%

Behaviour of a biocompatible titanium alloy during orthogonal micro-cutting employing green machining techniques

Lauro

Brandão

Filho

et al. 2018

Int J Adv Manuf Technol

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The sustainability of a process is the objective of modern industries aiming to reduce waste in production, since consumers require high quality and efficiency with fair price. Thus, a good understanding of the process should be its starting point. The manufacture of dental implants is an example in which waste reduction is important for the reduction of prices due to the demand for great quality and accuracy. This study observed the behaviour of sustainable micro-cutting applied to the Ti-6Al-7Nb titanium alloy, considering the ploughing effect on minimum quantity lubrication (MQL) and high-speed machining (HSM) conditions. When compared with dry condition and low-speed cutting in orthogonal micro-cutting, the use of HSM in dry cutting was more efficient than using MQL. The dry condition presented lower surface roughness, whilst the cooled/lubricated condition presented lower burr formation.

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Section: Discussionmentioning

confidence: 99%

Behaviour of a biocompatible titanium alloy during orthogonal micro-cutting employing green machining techniques

Lauro

Brandão

Filho

et al. 2018

Int J Adv Manuf Technol

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“…Desirability (d) of each response was determined by one side transformation method as shown by Eqs. (8) and (9) and combined value (D) varies between 0 and 1. For a response f i to be maximum…”

Section: Response Optimization With Desirability Approachmentioning

confidence: 99%

“…However, using all these parameters can have effect on the tool life. Total cutting energy involved in machining is summation of energy consumed in rubbing, ploughing and shearing [9]. Balogun et al [9] found that for maximum efficiency, machining should be done at shear dominated zone.…”

Section: Introductionmentioning

confidence: 99%

“…Total cutting energy involved in machining is summation of energy consumed in rubbing, ploughing and shearing [9]. Balogun et al [9] found that for maximum efficiency, machining should be done at shear dominated zone. They also calculated optimum ratio of undeformed chip thickness to the cutting edge radius such that shear dominates the other cutting mechanisms.…”

Section: Introductionmentioning

confidence: 99%

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Modelling and multiobjective optimization for productivity improvement in high speed milling of Ti–6Al–4V using RSM and GA

Sahu

Andhare

2017

J Braz. Soc. Mech. Sci. Eng.

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“…After reviewing the literature, it was found that nowadays a lot of researchers [26,27,28] employ the specific energy consumption (SEC) for evaluating the energy efficiency of machine tools. SEC represents the energy which is required to remove a specific volume of material.…”

Section: Introductionmentioning

confidence: 99%

Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency

Haas

Suárez

Čuš

et al. 2019

TFAMENA

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This paper presents a smart energy consumption monitoring platform for machining processes with a unique electrical energy consumption indicator (EECI) for the evaluation and comparison of machining processes in terms of energy efficiency. The purpose of the developed smart monitoring platform with the integrated EECI and the Industry 4.0 digital technologies is to raise the level of efficiency of the machining process and thus to stimulate more sustainable and environmentally friendly machining. The energy consumption monitoring of a milling process is performed by connecting a machine tool with integrated sensors for measuring electrical power and cutting force to a cloud platform by using resources for signal acquiring and data acquisition. The platform includes applications for energy consumption monitoring and/or analysis. Results of four machining experiments are presented to demonstrate the effectiveness of the proposed energy consumption monitoring in machining and the applicability of the newly introduced EECI at the engineering and the operational level.

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Specific energy based evaluation of machining efficiency

Cited by 58 publications

References 33 publications

Behaviour of a biocompatible titanium alloy during orthogonal micro-cutting employing green machining techniques

Behaviour of a biocompatible titanium alloy during orthogonal micro-cutting employing green machining techniques

Modelling and multiobjective optimization for productivity improvement in high speed milling of Ti–6Al–4V using RSM and GA

Platform for Monitoring and Comparing Machining Processes in Terms of Energy Efficiency

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