An Investigation into Fixed Energy Consumption of Machine Tools

Li, Wen; Zein, André; Kara, Sami; Herrmann, Christoph

doi:10.1007/978-3-642-19692-8_47

Cited by 124 publications

(60 citation statements)

References 6 publications

(11 reference statements)

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“…A Fixed Power, demanded for the operational readiness of the machine and independent from the process, and a Load Dependent Power, demanded to distinctively operate components enabling and executing the main process [2] [3] [4] [5] [6]. Among the energy saving measures at machine level, it is possible to differentiate between process control and state control.…”

Section: Brief Literature Surveymentioning

confidence: 99%

Analysis on Energy Efficient Switching of Machine Tool With Stochastic Arrivals and Buffer Information

Frigerio

Matta

2016

IEEE Trans. Automat. Sci. Eng.

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Energy saving in production plants is becoming more and more relevant due to the pressure from governments to contain the environmental impact of manufacturing, and from companies to reduce costs. One of the measures for saving energy is the implementation of control strategies that reduce energy consumption during the machine idle periods. This paper proposes a framework that integrates different control policies for switching the machine off when production is not critical, and on when the part flow has to be resumed. A general policy is formalized by modelling explicitly the energy consumed at each machine state. The policy parameters that minimize the requested machine expected energy are provided analytically for general distributions. Numerical results are based on data acquired with dedicated experimental measurements on a real machining centre, and a comparison with the most common practices in manufacturing is also reported.Note to Practitioners -The paper analyzes the control problem of switching off-on a machine tool for energy saving during the idle times. Different control policies are investigated pointing out the most significant factors. A mapping of the optimal control policy as a function of warm-up time and mean part arrival time is also provided. An algorithm is described for identifying the optimal control parameters. The results of this research will be useful for a practical implementation of a switching policy for energy saving. This implementation requires the fitting of the distribution modelling the part arrival times, the estimation of the warm-up time, and the estimation of the power adsorbed by the machine in four different states.

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Section: Brief Literature Surveymentioning

confidence: 99%

Analysis on Energy Efficient Switching of Machine Tool With Stochastic Arrivals and Buffer Information

Frigerio

Matta

2016

IEEE Trans. Automat. Sci. Eng.

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“…The idle power level (P idle ) normally remains constant, which can be easily obtained after the power measurements. 21 Unfortunately, the idle time per product (t idle ) is not directly documented in industries, and it fluctuates from part to part. Alternatively, the cycle time (t cycle ) can be used to estimate the idle time by deducting the period of value adding activities recorded in the measurements.…”

Section: Analysis Of Type 1: Simple Machinesmentioning

confidence: 99%

A methodology for customized prediction of energy consumption in manufacturing industries

Schmidt

Thiede

et al. 2015

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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Regulative measures and rising energy cost foster the trend towards energy efficient manufacturing. However, companies are facing hurdles such as high effort and little expertise when implementing energy efficiency measures. Moreover, the embodied energy of products cannot be determined accurately in eco-assessments of factories. This paper presents a methodology for the reliable prediction of energy consumption of arbitrary manufacturing processes. It is based on minimal measurements and requires little effort and previous knowledge due to precise guidelines. Consumption models help to allocate energy cost to products, to calculate the product carbon footprint and to derive and validate measures to improve energy efficiency in production. The methodology has been applied in a medium size company with a large number of different products and machines.

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“…17,18 In current machine tool's energy consumption research, the input and output power of electrical components can be measured or calculated by the acquired signals with current, voltage, or power sensors, which can be integrated in CNC system. 15,16 However, the measurement and calculation of cutting power is relatively complicated.…”

Section: Introductionmentioning

confidence: 99%

Measuring and calculating the computer numerical control lathe’s cutting power and total electric power consumption based on servo parameters

Liu

Zhang

Liu

et al. 2017

Advances in Mechanical Engineering

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Improving the energy efficiency of machine tools is the goal of sustainable development of the mechanical manufacturing industry. The key is to measure or calculate energy efficiency conveniently and accurately. This article proposes a method of calculating power by reading the computer numerical control system's servo parameters from its currentloop and speed-loop, establishing the relationships between cutting power, total power, and servo parameters, and using these relationships for power prediction. Experiments were done on a computer numerical control lathe. The result shows that this method has high precision, does not need additional sensors, and is independent of cutting process parameters, workpiece material, heat treatment state, and tools. This method may be used for developing a cutting power management module integrated in the computer numerical control system with real-time monitoring power consumption because the computer numerical control system can read servo parameters real time.

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An Investigation into Fixed Energy Consumption of Machine Tools

Cited by 124 publications

References 6 publications

Analysis on Energy Efficient Switching of Machine Tool With Stochastic Arrivals and Buffer Information

Analysis on Energy Efficient Switching of Machine Tool With Stochastic Arrivals and Buffer Information

A methodology for customized prediction of energy consumption in manufacturing industries

Measuring and calculating the computer numerical control lathe’s cutting power and total electric power consumption based on servo parameters

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