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Original Articles

Structured information description framework oriented to energy-saving design of machinery equipment

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Pages 469-478 | Received 30 Apr 2016, Accepted 05 Nov 2017, Published online: 10 Dec 2017
 

Abstract

To describe the influence of design parameters on energy consumption, a structured information description framework oriented to energy-saving design of machinery equipment is proposed, which is composed of two sub-models: the energy consumption description model, and the design – energy consumption information correlation model. Firstly, the energy consumption composition of running procedures is analysed and the energy balance equations based on the kinetic energy theorem are built. Furthermore, a structured energy consumption description model – energy breakthrough structure (EBS) – is proposed; EBS is composed of some interrelated energy factors, and the energy factors are divided into two types: the energy element (EE) and the energy control unit (EC), where EE is the basic energy consumption description unit, and EC is the upper lower of energy factor, which is determined by the lower-level EE and EC. The relationships among energy factors can be divided into three types: Or, And, Proportional And; the energy relationships could be determined based on working conditions, design proposals or product structures. Additionally, based on the bond graph theory, the extracting method of energy features (such as force, displacement, pressure and flow) is brought forward, and a model related to the design parameters and energy was built. Finally, the feasibility of these models and methods was illustrated by taking the horizontal machining centre feed system as an example.

Acknowledgment

This work supported by National Natural Science Foundation of China (Nos. 51475077, 51005038) and Science and Technology Foundation of Liaoning, China (Nos. 201301002, 2014028012).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [Nos. 51475077,51005038] and Science and Technology Foundation of Liaoning, China [Nos. 201301002, 2014028012].

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