Design optimization of compressor reed valve based on axiomatic design

Wang, Feng; Mu, Guangyu; Guo, Qiang

doi:10.1016/j.ijrefrig.2016.07.019

Cited by 19 publications

(2 citation statements)

References 10 publications

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“…The use of single-objective models in the literature can be classified into technical design optimization, generic design and sustainable design. In the first category, optimization models are used for the design of different products or systems such as compressor reed valves (Wang et al, 2016) and heat transfer systems (Dbouk, 2017). In the second category, the trend is to integrate optimization with other tools such as computer-aided design (CAD) (Liu et al, 2016).…”

Section: Literature Review and Paper Contributionmentioning

confidence: 99%

A decision-making framework for environmentally sustainable product design

Cheaitou

Gardoni

Hamdan

2019

Concurrent Engineering

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Design is a process through which customer needs are transformed into product or service specifications, and then used to develop a model or prototype. The prototype is tested, and modifications are brought to it before the production process starts. Moreover, the design process may be divided into different stages, starting from the definition of the customer needs, going through the conceptual design phase and ending up with the detailed design. In this article, we address the conceptual design phase, where the customer needs are assumed to be known. The proposed approach considers, based on customer needs, primary and secondary design criteria. Each design criterion has a set of predetermined possible values (options) from which the designer may select. Making the best selection of all the design features while satisfying the customer needs in terms of cost, quality (customer preference) and environmental performance is a combinatorial problem and therefore a decision-making framework would be helpful for the designers. In this article, the design criteria are evaluated using fuzzy technique for order preference by similarities to ideal solution based on cost, quality and environmental sustainability. A multiobjective and a single-objective binary programming models are then developed and solved, and their optimal solutions are obtained. The multiobjective solutions provide the decision makers with the possible trade-offs, whereas the single-objective model solution can be used as a final decision-making tool. The proposed approach is implemented in a user-friendly software developed by the authors. A case study is conducted using a baby car seat for which three main and six secondary design criteria are considered. The obtained results show the effectiveness of the approach used.

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Section: Literature Review and Paper Contributionmentioning

confidence: 99%

A decision-making framework for environmentally sustainable product design

Cheaitou

Gardoni

Hamdan

2019

Concurrent Engineering

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“…Additionally, a genetic algorithm (GA) is linked to the objective (OBJ) function to realize noise reduction [5]. Wang et al treat the valve as a whole and optimize it globally, based on the axiomatic design (AD) theory, to reduce the coupling of the design parameters and simplify the design process [6]. Qin et al proposed a new uncertain optimization algorithm, using NSGA-II, to suppress the vibration of the crankshaft system [7].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of Actuator Parameters in Multistage Reciprocating Compressor Stepless Capacity Control System Based on NSGA-II

Jiang

Zhou

Wang

et al. 2020

Mathematical Problems in Engineering

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The capacity control system of reciprocating compressor has great significance for the contribution of energy conservation and emission reduction. The parameters of the actuator and hydraulic system within a reciprocating compressor stepless capacity control system play a decisive role in its control accuracy, mechanical reliability, and mechanical security. The actuators and hydraulic system parameters of the same stage are in conflict with each other. Therefore, the actuator and the multistage reciprocating compressor are studied here, specifically through multiobjective optimization using the Nondominated Sorting Genetic Algorithm (NSGA)-II. The multiobjective optimization design was performed on a two-dimensional (2D) reciprocating compressor test bench. When the spring stiffness of the first stage spring was 27358 N m−1, the spring stiffness of the second stage spring was 23315 N m−1, the inlet oil pressure was 296.62 N, the impact velocity of ejection was 0.4215 m s−1, and the total indicated power deviation was 12.05 kW; the objective functions were optimized. Compared with traditional parameters, the inlet oil pressure, spring stiffness, and impact velocity were all reduced. This parameter optimization design lays the foundations for global optimization designs for stepless capacity control systems.

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An investigation of pressure loss and dynamical model of reed-type valves in compressors based on Euler–Bernoulli beam theory

Wang

Gao

2020

Arch Appl Mech

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Design optimization of compressor reed valve based on axiomatic design

Cited by 19 publications

References 10 publications

A decision-making framework for environmentally sustainable product design

A decision-making framework for environmentally sustainable product design

Optimization Design of Actuator Parameters in Multistage Reciprocating Compressor Stepless Capacity Control System Based on NSGA-II

An investigation of pressure loss and dynamical model of reed-type valves in compressors based on Euler–Bernoulli beam theory

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