Accepted Manuscripts

Ru Wang, Guoxin Wang, Yan Yan, Maryam Sabeghi, Zhenjun Ming, Janet K. Allen and Farrokh Mistree
J. Comput. Inf. Sci. Eng   doi: 10.1115/1.4041474
Utilizing the enterprise capital related the knowledge of design processes has become crucial to improve enterprise agility and respond to shifts or changes in markets. The complexity and uncertainty of design processes raise the challenge of capturing tacit knowledge and the ability to aid in designing design processes. In this paper, an ontology is proposed for capturing, representing, and documenting the knowledge related to hierarchical decision workflows in the meta-design of complex engineered systems. The ontology is developed in the context of Decision Support Problem Technique (DSPT), considering the requirements being able to guide assistance in designing design workflows, and integrating problem, product, and process information in a design decision-making process. Then, the approach for building procedure of process templates is presented to facilitate the reuse of the populated template instances in future design. Finally, the meta-design of the heat exchanger in a small thermal system is presented as an example to illustrate the effectiveness of this approach.
TOPICS: Design, Ontologies, Workflow, Engineering design processes, Heat exchangers, Thermal systems, Decision making, Uncertainty
Min Tang, Jian Jin, Ying Liu, Chunping Li and Weiwen Zhang
J. Comput. Inf. Sci. Eng   doi: 10.1115/1.4041475
Analysing product online reviews has drawn much interest in the academic field. In this research, a new probabilistic topic model, called tag sentiment aspect models (TSA), is proposed on the basis of Latent Dirichlet Allocation (LDA), which aims to reveal latent aspects and corresponding sentiment in a review simultaneously. Unlike other topic models which consider words in online reviews only, syntax tags are taken as visual information and, in this research, as a kind of widely used syntax information, part-of-speech (POS) tags are firstly reckoned. Specifically, POS tags are integrated into three versions of implementation in consideration of the fact that words with different POS tags might be utilized to express consumers' opinions. Also, the proposed TSA is one unsupervised approach and only a small number of positive and negative words are required to confine different priors for training. Finally, two big datasets regarding digital SLR and laptop are utilized to evaluate the performance of the proposed model in terms of sentiment classification and aspect extraction. Comparative experiments show that the new model can not only achieve promising results on sentiment classification but also leverage the performance on aspect extraction.
TOPICS: Modeling, Laptop computers
Review Article  
Xingyu Yan and Alex Ballu
J. Comput. Inf. Sci. Eng   doi: 10.1115/1.4041476
Computer-aided tolerancing aims to predict and control geometrical and dimensional deviations in the early design stage. Former simulation models based on the translation and rotation of nominal features cannot fulfill engineering demands or cover the product lifecycle. Non-ideal feature-based simulation methods are therefore drawing a great deal of research attention. Two general problems for non-ideal feature-based methods are how to simulate manufacturing defects and how to integrate these defects into tolerance analysis. In this article, we focus on the first problem. There are already many manufacturing defect simulation methods. Although they are derived from different fields and have different names, they share common characteristics in application. In this study, we collected different simulation methods, and classified them as random noise methods, mesh morphing methods, and mode based methods. The theoretical backgrounds of these methods are introduced, and simulation examples are conducted on a consistency model to show their differences. Criteria such as multi-scale, surface complexity, measurement data integration, parametric control and calculation complexity are proposed to compare these methods. Based on these analyses, the advantages and drawbacks of each method are pointed out, which may help researchers and engineers to choose suitable methods for their work.
TOPICS: Computer-aided engineering, Simulation, Errors, Manufacturing, Data fusion, Random noise, Simulation models, Tolerance analysis, Design, Rotation, Engineers
Qi Guo, Chengqi Xue, Mingjiu Yu and Zhangfan Shen
J. Comput. Inf. Sci. Eng   doi: 10.1115/1.4041418
User requirements play an important role in product design activities, and the accurate and full acquisition of user requirements is directly related to customer satisfaction with product design. Implicit requirements are potential, fuzzy and subjective. In this paper, a new implicit user requirements process method based on the cloud service platform is proposed to solve the difficulty of implicit requirements acquisition. The method initially collects user requirements data by the metaphor extraction technique on the cloud service platform. Then, the requirements data are clustered and mapped with product attributes. The mapping result is then visualized to intuitively guide product design and optimization. This method is a user-centered innovation paradigm implemented on the cloud service platform, which can realize collaborative design and resource sharing. Finally, an application case is performed to illustrate the method, and the result indicates that the method is effective and can be used in product design.
TOPICS: Product design, Innovation, Design, Optimization
Craig Shakarji and Vijay Srinivasan
J. Comput. Inf. Sci. Eng   doi: 10.1115/1.4041226
This paper addresses some important theoretical issues for constrained least-squares fitting of planes and parallel planes to a set of points. In particular, it addresses the convexity of the objective function and the combinatorial characterizations of the optimality conditions. These problems arise in establishing planar datums and systems of planar datums in digital manufacturing. It is shown that even when the set of points (i.e., the input points) are in general position: (1) a primary planar datum can contact 1, 2, or 3 input points, (2) a secondary planar datum can contact 1 or 2 input points, and (3) two parallel planes can each contact 1, 2, or 3 input points, but there are some constraints to these combinatorial counts. In addition, it is shown that the objective functions are convex over the domains of interest. The optimality conditions and convexity of objective functions proved in this paper will enable one to verify whether a given solution is a feasible solution, and to design efficient algorithms to find the global optimum solution.
TOPICS: Fittings, Manufacturing, Algorithms, Design

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