Modeling Energy States in Machine Tools: An Automata Based Approach

Frigerio, Nicla; Matta, Andréa; Ferrero, Luca; Rusinà, Fulvio

doi:10.1007/978-981-4451-48-2_33

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…Since it suggests that the significant amount of energy is wasted for machine idling, research works have been conducted to save energy by turning idle systems off especially in the DPM (Dynamic Power Management) field [4]. Thus DPM is grounded in theory, but there are inherent limitations in their applicability to manufacturing: First, each microprocessor state in DPM does not correspond well to that of a machine [4], [5]. Second, while electrical signals in DPM can be freely created and discarded among processors, physical parts in manufacturing cannot.…”

Section: Motivation and Previous Researchmentioning

confidence: 99%

Modeling Energy Performance of Manufacturing Systems Using Gi/M/1 Queues

Jeon

Prabhu

2013

IFIP Advances in Information and Communication Technology

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Abstract. Energy expended in a discrete manufacturing system can be saved by turning idle machines off. Utilizing this idea, previous research has contributed preliminary models in which mainly M/M/1 machines are considered. To generalize existing approaches, this paper proposes a new energy model based on a Gi/M/1 queueing network. To start, a simulation model is built with Gi/M/1 machines. The proposed model is then built by fitting each GED (Generalized Erlang Distribution) to the observed first two moments of simulated interarrival times of all machines. Consumed energy is calculated separately by the proposed and simulation models, and, in the comparison between two estimations, the proposed method shows at most 4% different energy estimation from simulated values, suggesting that the proposed approach is promising for the energy analysis about a Gi/M/1 queueing network.

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Section: Motivation and Previous Researchmentioning

confidence: 99%

Modeling Energy Performance of Manufacturing Systems Using Gi/M/1 Queues

Jeon

Prabhu

2013

IFIP Advances in Information and Communication Technology

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“…Frigerio al. [4] analyzed the energy consumption status of the main energy-consuming components during the machining process through cutting experiments. Yoon et al [5] divided the energy consumption model into basic energy consumption, spindle energy consumption, phase energy consumption, and material removal energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Minimizing the Energy Consumption of Holes Machining Integrating the Optimization of Tool Path and Cutting Parameters on CNC Machines

Feng

Chen

Zhang

et al. 2021

Preprint

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The application of sustainable manufacturing technologies is the new challenge faced by enterprises, industries, and researchers under the background of supporting carbon peak and carbon neutral. This paper studies how to reduce the energy consumption of holes machining through optimizing tool path and cutting parameters simultaneously. The integrated optimization methodology can further reduce the energy consumption comparing with optimizing the tool path or cutting parameters separately. Firstly, the energy model of holes machining is established based on machine tools’ energy composition, tool path planning, and process parameters. Due to tool path planning as air cutting process has big relationship with reducing energy, especially for holes group with a big proportion in the whole process. The tool path of holes processing is optimized by the improved ant colony algorithm to solve the issue considering the distance from one hole to the next hole. Based on this optimized path, a multi-objective optimization model for hole cutting parameters is established, considering the spindle speed and feed rate as the optimization variables and machining time, energy consumption, and surface roughness as the objective function. The non-dominated sorting genetic algorithm (NSGA-Ⅱ) is employed to solve the multi-objective optimization problem of holes machining. The case study with 50 holes is used to testify the application of the proposed method to provide the practical energy efficiency strategy for holes group or multi-hole parts on CNC machines assisting in achieving sustainable production in manufacturing sectors.

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“…Further extensions of this approach have been reported in [15], [16], where the plant auxiliary systems have also been considered. In [17]- [19] the operating states of the process equipments and the associated energy consumption have been modeled in terms of Finite State Machines (FSM), see [20]- [22], a formalism suitable for dynamic simulation. A refined approach has been implemented in [23], where three different aspects of PE are taken into account, namely the mechanical, the logic control algorithms and the energy characteristics.…”

Section: Introductionmentioning

confidence: 99%