Rotor Profile Design and Motion Simulation Analysis of Hydrogen Circulating Pump

Jiawei Lin,Lixin Zhang,Liang Dong,Houlin Liu,Cui Dai 한국유체기계학회 2021 International journal of fluid machinery and syste Vol.14 No.4

With the development of automotive fuel cells towards high power and high efficiency, higher requirements are put forward for the speed and boost ratio of hydrogen circulation pump, while high speed and boost ratio increase the pulsation characteristics and accelerate the aging of hydrogen fuel cells. Cam type hydrogen cycle pump has the advantages of compact structure, high efficiency under low boost ratio, and good adaptability to low temperature, so it has become an important research direction. The efficient and reasonable rotor profile design can improve the volumetric efficiency of the cam rotor pump. It can reduce the pressure pulsation and flow pulsation in the pump. The equation of multi-stage circular arc rotor profile is established according to the meshing principle of the rotor. Motion Simulation module in UG NX is employed to conduct dynamic interference detection of rotor mechanism and simulation analysis of rotor mechanism meshing motion on the rotating parts of the hydrogen circulating pump. So the angular velocity curve and meshing force change curve of the driven gear is obtained. In order to verify the rationality of rotor profile design, the meshing force is compared with the standard spur gear.

An Improved Genetic Approach to Optimal Supplier Selection and Order Allocation with Customer Flexibility for Multi-Product Manufacturing

Mak, Kai-Ling,Cui, Lixin,Su, Wei Korean Institute of Industrial Engineers 2012 Industrial Engineeering & Management Systems Vol.11 No.2

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

An Improved Genetic Approach to Optimal Supplier Selection and Order Allocation with Customer Flexibility for Multi-Product Manufacturing

Kai-Ling Mak,Lixin Cui, Wei Su 대한산업공학회 2012 Industrial Engineeering & Management Systems Vol.11 No.2

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers’ demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer’s total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problemspecific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

Identification and characterization of a novel goose-type and chickentype lysozyme genes in Chinese rare minnow (Gobiocypris rarus) with potent antimicrobial activity

Yingying Zhang,Hui Yang,Weijia Song,Dan Cui,Lixin Wang 한국유전학회 2018 Genes & Genomics Vol.40 No.6

Lysozymes act as important innate immunity molecule against various pathogen infections. In the present study, a new c-type and g-type lysozymes were isolated from rare minnow Gobiocypris rarus. The deduced amino acid sequence of c-type lysozyme contained 145 residues and possessed conserved catalytic residues ( Glu53 and Asp72). The deduced g-type lysozyme contained 185 residues and possessed three conserved catalytic residues ( Glu73, Asp86 and Asp97). qPCR analysis revealed that GrlysG and GrlysC were constitutively expressed in all examined tissues. GrlysG was most abundant in kidney and liver, while GrlysC was predominantly expressed in liver. The transcripts of GrlysG and GrlysC genes could be significantly up-regulated after Aeromonas hydrophila and poly I:C infection in the kidney and liver. The recombinant GrlysG and GrlysC proteins were successfully produced and purified. The optimal pH and temperature for rGrlysG and rGrlysC protein lytic activities was determined to be 6.5 and 32 °C, respectively. From the minimal inhibitory concentration test, the rGrlysG and rGrlysC exhibited apparent antibacterial activities against both Gram-positive and Gram-negative bacteria at different concentrations. In conclusion, the present study indicated that c-type and g-type lysozymes participated the innate immune response to A. hydrophila and virus infections in fish.

Modified Model Free Adaptive Control for a Class of Nonlinear Systems with Multi-threshold Quantized Observations

Xiangquan Li,Zhengguang Xu,Yanrong Lu,Jiarui Cui,Lixin Zhang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.10

This paper addresses a pattern-moving-based modified model free adaptive control (PMFAC) scheme and illustrates the convergence of its tracking error for a class of nonlinear systems with unknown model and multi-threshold quantized observations. The basic idea is to consider the system’s quantization error as an external disturbance and an improved performance index function of control law is proposed from the perspective of twoplayer zero-sum game (TP-ZSG) based on the existed MFAC algorithms. The PMFAC scheme is established which mainly includes an improved tracking control law and a pseudo-partial derivative (PPD) estimation algorithm. Under certain conditions, the bounded convergence of system tracking error and the stability of PMFAC system with quantization errors can be guaranteed. The theoretical results are demonstrated by two numerical examples.