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Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

2014

Clemson University

All CEDAR Publications

Articles 1 - 6 of 6

Full-Text Articles in Engineering

Comparative Analysis Of Requirements Change Prediction Models: Manual, Linguistic, And Neural Network, Beshoy Markos, James L. Mathieson, Joshua D. Summers Apr 2014

Comparative Analysis Of Requirements Change Prediction Models: Manual, Linguistic, And Neural Network, Beshoy Markos, James L. Mathieson, Joshua D. Summers

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Requirement change propagation, if not managed, may lead to monetary losses or project failure. The a posteriori tracking of requirement dependencies is a well-established practice in project and change management. The identification of these dependencies often requires manual input by one or more individuals with intimate knowledge of the project. Moreover, the definition of these dependencies that help to predict requirement change is not currently found in the literature. This paper presents two industry case studies of predicting system requirement change propagation through three approaches: manually, linguistically, and bag-of-words. Dependencies are manually and automatically developed between requirements from textual data …

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Comparison Of Graph Generation Methods For Structural Complexity Based Assembly Time Estimation, Essam Z. Namouz, Joshua D. Summers Feb 2014

Comparison Of Graph Generation Methods For Structural Complexity Based Assembly Time Estimation, Essam Z. Namouz, Joshua D. Summers

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This paper compares two different methods of graph generation for input into the complexity connectivity method to estimate the assembly time of a product. The complexity connectivity method builds predictive models for assembly time based on 29 complexity metrics applied to the product graphs. Previously, the part connection graph was manually created, but recently the assembly mate method and the interference detection method have introduced new automated tools for creating the part connectivity graphs. These graph generation methods are compared on their ability to predict the assembly time of multiple products. For this research, eleven consumers products are used to …

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Development Of A Geometric Model Retrieval System: A Design Exemplar Case Study, Murty Srirangam, Srinivasan Anandan, Joshua D. Summers Jan 2014

Development Of A Geometric Model Retrieval System: A Design Exemplar Case Study, Murty Srirangam, Srinivasan Anandan, Joshua D. Summers

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This paper presents a case study examining design exemplar technology implemented as a search and retrieval tool for tyre mould inserts. Limitations of using the geometric-based exemplar approach, such as tediousness of authoring exemplars and time complexity, are identified and addressed through a new parametric-based exemplar approach. Here, the maxima and minima are calculated based upon the specifications of the query mould insert. The design exemplar is demonstrated to be useful primarily in prototyping query mechanisms. Ultimately, customer requirements necessitated implementing the parametric approach as a dedicated software package grounded on the exemplar-based prototyped query mechanism.

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Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric Predictive Modeling, Joseph E. Owensby, Joshua D. Summers Jan 2014

Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric Predictive Modeling, Joseph E. Owensby, Joshua D. Summers

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This paper presents an automated tool for estimating assembly times of products based on a three step process: connectivity graph generation from assembly mate information, structural complexity metric analysis of the graph, and application of the complexity metric vector to predictive artificial neural network models. The tool has been evaluated against different training set cases, suggesting that partially defined assembly models and training product variety are critical characteristics. Moreover, the tool is shown to be robust and insensitive to different modeling engineers. The tool has been implemented in a commercial CAD system and shown to yield results of within ±25% …

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A Comparative Survey Of Domestic And International Experiences In Capstone Design, Beshoy Morkos, Joshua D. Summers, Samantha Thoe Jan 2014

A Comparative Survey Of Domestic And International Experiences In Capstone Design, Beshoy Morkos, Joshua D. Summers, Samantha Thoe

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This paper studies the differences between student experiences in domestic and international capstone design offerings for mechanical engineering students at Clemson University. For this, we conducted surveys and interviews of students participating in both the traditional domestic version of a capstone course at Clemson University and a group of students that participated in an international, study abroad version of a capstone course jointly administered by Clemson University and West Virginia University. The surveys were given to students before and after the program to assess whether the international component had an impact on their global awareness when compared to their peers …

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Manufacturing Assembly Time Estimation Using Structural Complexity Metric Trained Artificial Neural Networks, Michael G. Miller, James L. Mathieson, Joshua D. Summers, Gregory M. Mocko Jan 2014

Manufacturing Assembly Time Estimation Using Structural Complexity Metric Trained Artificial Neural Networks, Michael G. Miller, James L. Mathieson, Joshua D. Summers, Gregory M. Mocko

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Assembly time estimation is traditionally a time-intensive manual process that requires detailed geometric and process information, which is often subjective and qualitative in nature. As a result, assembly time estimation is rarely applied during early design iterations. In this paper, the authors explore the possibility of automating the assembly time estimation process while reducing the level of design detail required. In this approach, they train artificial neural networks (ANNs) to estimate the assembly times of vehicle subassemblies using either assembly connectivity or liaison graph properties, respectively, as input data. The effectiveness of estimation is evaluated based on the distribution of …

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