Papers by Author: Hao Bo Qiu

Abstract: Ship design is a complex engineering effort required excellent coordination between the various disciplines and essentially applies iteration to satisfy the relevant requirements, such as stability, power, weight, and strengths. Through, all-in-one Multidisciplinary Design Optimization (MDO) approach is proposed to get the optimum performance of the ship considering three disciplines, power of propulsion, ship loads and structure. In this research a Latin Hypercube Sampling (LHS) is employed to improve the space filling property of the design and explore it to sample data for covering the design space. To avoid the problem of huge calculation time and saving the develop time, a quadratic Response Surface Method (RSM) is adopted as an approximation model to study the relation between a set of design variables and the system output for solving the system design problems. A genetic algorithm (GA) is adopted as search technique used in computing to find exact or approximate solutions to optimize and search problems and appropriate design result in MDO in ship design. Finally, the validity of the proposed approach is proven by a case study of a bulk carrier.

Abstract: This paper concentrates on the computational challenge in multidisciplinary design optimization (MDO) and a comprehensive strategy combining enhanced collaborative optimization (ECO) and kriging approximation models is introduced. In this strategy, the computational and organizational advantages of original collaborative optimization (CO) are inherited by ECO, which can satisfy the strengthened consistency requirements. Kriging approximation models are constructed to replace high-fidelity simulation models in individual disciplines and reduce the expensive computational cost in practical MDO problems. The proposed methodology is demonstrated by solving the classical speed reducer design problem. The better results indicate that ECO using kriging approximation models can achieve a considerable reduction of computational expense while guaranteeing the accuracy of optimal solutions with efficient convergence.

Abstract: Group decision-making is one of the most important issues in product development. In order to tackle the vague and sometimes conflicting decision data, this paper presents a new approach based on fuzzy similarity and fuzzy compromise to deal with the fuzzy nature of group decisions. In the proposed method, a modified fuzzy Analytical Hierarchy Process method is used to get the criterion weights, a novel consensus aggregation algorithm is given to obtain the conflict-free results, and an improved compromise decision means is utilized to calculate the utilities of alternatives. Finally an integrated product development solution evaluation process is illustrated as a numerical example, and the corresponding software package is also developed.

Abstract: Computer supported collaborative work (CSCW) technology is used to solve the resource-sharing problems in collaborative design, analysis, and manufacture. To address this need, a system called CollabVue for collaborative product design between designers and manufacturers is proposed in this study. This paper first introduces the framework of tolerance analysis system based on CollabVue, and then discusses the utilization of geometric topology information in 3D model to resolve the problem of dimension information input and the related specific operations. Based on object-oriented technology, a new data structure to interactively pick up and store dimension information is established. Finally the model uses iterative method to compute technological dimension chain equation.

Abstract: Collaborative Product Development (CPD) is an advanced paradigm for product development, which focuses on facilitating the business collaboration across organizational boundaries. The process of CPD is highly dynamic, and needs to be implemented jointly by participant organizations. Firstly, this paper analyzes some traditional workflow modeling methods, and reviews related research work on workflow modeling for CPD. Secondly, a process-view and Petri nets combined approach is highlighted. At last, a novel process management framework is proposed, which provides an effective and universal way to manage the dynamic and distributed process of CPD.

Abstract: Uncertainty in design and simulation affects the quality of product directly during the process of MDO, which should be considered to help designers to make the design decisions, especially at conceptual design stage. In traditional approaches, this uncertainty is ignored in the hope that it is not significant to the decision making. In this investigation, firstly, three main uncertainties in MDO of conceptual design are pointed out and carefully analyzed. Then, an innovative methodology integrating extract knowledge and probabilistic method to manage these uncertainties is presented. Considering practical application and eliminating the uncertainty in configuration, we propose a promising method combining Fuzzy c-means algorithm (FCM) and Rough Sets theory (RST) to deduce the configuration rule. Furthermore, probabilistic kriging model is utilized as an approximation model to reduce global computational expense of complex product. Sensitivity analysis (SA) is used to reduce uncertainty of inputs of simulation, and mean square error (MSE) is employed to assess model error to reduce model uncertainty. Finally, the validity and necessity of this methodology are demonstrated through the conceptual design of bulk carrier.