Cost and time calculation in rough NC turning

Gara, Souhir; Bouzid, W.; Amar, Martine Ben; Hbaieb, Moncef

doi:10.1007/s00170-008-1417-5

Cited by 21 publications

(7 citation statements)

References 9 publications

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“…3. Energy consumption of a tool change system, E tool , results primarily from rotating the tool turret for changing tools [31] or from the motor starting up, tool picking, tool magazine rotating, tool placing, and motor stop based on the programmed numerical control codes [32]. 4.…”

Section: Evaluation Objectivesmentioning

confidence: 99%

Evaluation on models of calculating energy consumption in metal cutting processes: a case of external turning process

Zhong

Tang

Lv³

et al. 2015

Int J Adv Manuf Technol

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The manufacturing industry has been focusing on calculating energy consumption because of increased sustainability and environmental consciousness, resulting in a large number of calculation models. However, evaluation on these existing models is missing, so that practitioners often have trouble selecting the right energy models. To identify the most appropriate, cost-effective, and easy-to-implement energy models, three tasks were conducted in this paper. First, various experimental or empirical energy consumption models of spindle acceleration, spindle rotation, feed and material removal, and those of machine tool during material removal processes are reviewed. Then, five evaluation criteria, applicability, accuracy, computational efforts, complexity of fitting coefficients, and ease of data collection, are proposed. These criteria are identified based on the general steps to run the calculation models. Finally, the evaluation criteria are applied with the supporting experimental data of external turning to rank the models. This work is expected to assist practitioners in selecting models to calculate energy consumption in metal cutting processes for a particular situation and purpose.

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Section: Evaluation Objectivesmentioning

confidence: 99%

Evaluation on models of calculating energy consumption in metal cutting processes: a case of external turning process

Zhong

Tang

Lv³

et al. 2015

Int J Adv Manuf Technol

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“…where p tool is the power of the tool change motor and t tool is the turret rotation time, which is written as equation ( 17) [18]…”

Section: Energy Consumption Estimation Of Tool Changesmentioning

confidence: 99%

Analysis and estimation of energy consumption for numerical control machining

Liu

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part B:

186

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Understanding and estimating the energy consumed by machining are essential tasks as the energy consumption during machining is responsible for a substantial part of the environmental burden in manufacturing industry. Facing the problem, the present paper aims to analyse the correlation between numerical control (NC) codes and energy-consuming components of machine tools, and to propose a practical method for estimating the energy consumption of NC machining. Each energy-consuming component is respectively estimated by considering its power characteristics and the parameters extracted from the NC codes, and then the procedure estimating energy consumption is developed by accounting for the total energy consumption of the components via the NC program. The developed method is verified by comparing the estimated energy consumption with the actual measurement results of machining two test workpieces on two different machine tools, an NC milling machine and an NC lathe, and is also applied to evaluate the energy consumption of two different NC programs on the NC milling machine. The results obtained show that the method is efficient and practical, and can help process planning designers make robust decisions in choosing an effective energy-efficient NC program.

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“…The time consumed for changing tools is , and is the corresponding power level of the tool changer. The values of them depend on the number of tool stations rotated for changing tools [35].…”

Section: Modelling Tool Change Energy Consumptionmentioning

confidence: 99%

Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach

Tang

Liu

et al. 2018

Energy Conversion and Management

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Minimising the energy consumption of tool change and tool path of machining by sequencing the features Abstract: A considerable amount of energy is consumed by machine tools during the run-time operations such as tool change and tool path. The value of this part of energy is affected by the processing sequence of features of a part (PSFP) because the tool path and tool change plan will vary based on the different PSFP. This paper firstly aims to understand the relationship between the PSFP and the energy consumption of tool change and tool path during the feature transitions. Then, a model is introduced for the single objective optimisation problem that minimises the energy consumption of machine tools during the feature transitions which include all the tool path and tool change operations. Finally, optimisation approaches including depth-first search and genetic algorithm are modified and applied to find the optimal PSFP which results in the minimisation of the energy consumption of feature transitions (EFT). In the case study, the optimal and nearoptimal sequences of features, in terms of the minimum EFT, of a 15 features part which is processed by a machining centre have been found. The optimal PSFP achieves a 28.60% EFT reduction, which validates the effectiveness of the developed model and optimisation approaches. Besides, a 27.95% time reduction of feature transitions benefits from the EFT minimisation.

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Cost and time calculation in rough NC turning

Cited by 21 publications

References 9 publications

Evaluation on models of calculating energy consumption in metal cutting processes: a case of external turning process

Evaluation on models of calculating energy consumption in metal cutting processes: a case of external turning process

Analysis and estimation of energy consumption for numerical control machining

Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach

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