Institute for Systems Research Technical Reports

Permanent URI for this collectionhttp://hdl.handle.net/1903/4376

This archive contains a collection of reports generated by the faculty and students of the Institute for Systems Research (ISR), a permanent, interdisciplinary research unit in the A. James Clark School of Engineering at the University of Maryland. ISR-based projects are conducted through partnerships with industry and government, bringing together faculty and students from multiple academic departments and colleges across the university.

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Now showing 1 - 10 of 56
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    Stiffness Modeling of a Stewart Platform Based Milling Machine"
    (1997) Clinton, Charles M.; Zhang, Guangming; Wavering, Albert J.; ISR
    This paper presents the development of a mathematical model describing the stiffness of a Stewart-platform-based milling machine. Matrix structural analysis is used to derive the stiffness matrix for each of the elements in the model and assemble them into a system-wide stiffness matrix. By incorporating the inverse kinematics of the machine tool, the system model is used to visualize the stiffness variation over the mill's workspace. Estimation of the system parameters is conducted through experimental stiffness measurements. Computer simulation is used to demonstrate how the developed stiffness model suggests an optimization process for tool-path planning.

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    Dynamic Variation of the Workspace of an Octahedral Hexapod Machine Tool During Machining
    (1997) Conti, Joseph P.; Clinton, Charles M.; Zhang, Guangming; Wavering, Albert J.; ISR
    A method is presented to evaluate the workspace variation of a Stewart platform based machine tool. Four sets of constraints, covering strut lengths, platform spherical joint angles, base spherical joint angles, and strut collisions, are formulated using inverse kinematics. Recognizing the need for varying the platform orientation during machining, an algorithm to efficiently calculate the workspace is developed. Computer implementation provides a powerful tool to study the dynamic variation of the workspace as the spindle platform rotates away from the horizontal orientation. A case study is presented on the workspace variation of an Ingersoll Octahedral Hexapod machine tool during machining. The results demonstrate the shift in size and location of the workspace as the platform orientation changes. Guidelines for NC coding are suggested to maximize the versatility of Stewart platform based machine tools, while avoiding the violation of constraint conditions on the workspace.

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    Integration of a Manufacturing Resource Planning System with a Manufacturing Information Repository
    (1996) Rush, D.W.; Harhalakis, G.; Minis, I.; ISR
    This work employs a Systems Engineering approach to integrate two heterogeneous databases systems in a chemical manufacturing facility. The first system is a Manufacturing Resource Planning system (MRPII) which supports production planning and control. The second system is a Manufacturing Information Repository (MIR) that manages and stores information concerning processes, equipment and materials. Phase I of this project compared the data structures of the two systems for common data fields. With very little commonality found, Phase II focused on the interrelationships and intra relationships of the data structures of the two systems and yielded the following results: 1) Detailed data models of the two systems that showed the MIR system to be hierarchical and the MRPII system to be relational; 2) A set of mapping conventions between the corresponding data fields of the two systems; 3) An algorithm and a computer program to upload information from the MIR to the MRPII system. To demonstrate the computer program, a case study was performed using sample MIR data.
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    A Generative Approach for Design Evaluation and Partner Selection for Agile Manufacturing
    (1996) Minis, Ioannis; Herrmann, Jeffrey W.; Lam, Giang; ISR
    An agile manufacturing firm forms partnerships with other manufacturers as necessary to design and manufacture a product quickly in response to a market opportunity. In order to form a successful partnership, the firm needs to create a superior design and select the partners that best fit the partnership's scope. In this paper we consider the intrinsic relationship between design evaluation and partner selection. The paper presents a generative approach that a design team can use to obtain feedback about a new product embodiment based on high- level process plans and on the manufacturing capabilities and performance of potential partners. Using this information, the design team can improve their design and identify the potential partners that best fit its manufacturing requirements. The primary application of this work is to certain types of mechanical and electronic products.
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    A Systems Engineering Approach to Design a Smart Tool Post Structure
    (1995) Ko, Wing F.; Zhang, G.M.; ISR
    Precision machining has received more and more industry-wide attention as dimensional accuracy becomes a significant measure of quality in a product. The key in achieving today's quality requirement is, therefore, precision of a machine tool. Since the invention of the first CNC machine tool in the 1960s, machine tool research has entered an almost stagnant stage. There are numerous reasons for the slow progress, and the lack of system- wide studies of the machine tool performance is one of them.

    The research presented in this thesis focuses on improving machining accuracy using a systems engineering approach. A conventional lathe during machining is taken under consideration as a machining system. The tool post is identified as a critical component in the machining system to achieve the defined machining accuracy. Smart material made actuators are used to design a new tool post structure that is capable of carrying out an active vibration control during machining.

    In this thesis research, the fabrication of the designed tool post is completed. Results obtained from the initial tests strongly demonstrate its capability to attenuate tool vibration during machining in an active and intelligent way. Thus, the smart tool post system fulfills the design objective of achieving microscopic level machining precision on a low-cost conventional machine tool platform. Suggestions on the actuator specifications are made for further improvement on vibration compensation.

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    Geometric Algorithms for Recognition of Features from Solid Models
    (1995) Regli, W.C., III; Nau, D.S.; ISR
    Collaborative engineering has expanded the scope of traditional engineering design to include the identification and elimination of problems in the manufacturing process. Manufacturing features and feature-based representations have become an integral part of research on manufacturing systems, due to their ability to model the correspondence between design information and manufacturing activities. One necessary component of an integrated Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) environment is a tool to automatically recognize manufacturing features from a CAD or solid model. In this thesis we present a methodology for recognizing a class of machining features and for addressing the computational issues involved in building tractable and scalable solutions for automated feature recognition. This approach is described for a class of volumetric features based on material removal volumes produced by operations on 3-axis vertical machining centers. A computational framework is developed for representing different types of common machining features and specifying the recognition problem. Based on this framework, novel serial and multi-processor recognition algorithms are described and analyzed with respect to their completeness and complexity. The goal of this dissertation is to advance the understanding of the basic computational issues that arise in feature recognition from solid models of mechanical artifacts and to facilitate development of effective and efficient systems that can scale to address industrial problems.

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    Hierarchical Production Planning for Job Shops
    (1995) Mehra, Anshu; Minis, I.; ISR
    Production management and control of job shops is an important and complex problem. This dissertation proposes a two-level hierarchical method for tactical production planning in such environments. We first develop a scheme to design the planning hierarchy by aggregating parts into families and resources into manufacturing cells; a priori aggregation of elementary time periods into aggregate time periods is assumed. Based on the results of the design stage, the medium- and short- term production planning problems are formulated. The objective of the production planning problems consists of minimizing the holding costs for the work-in-process and finished goods inventory and the backlogging costs for unfulfilled demand. The formulations are complemented by capacity constraints, inventory state equations, and constraints that ensure feasibility of the aggregate production plan. We decompose the global production planning problem such that the short-term planning sub-problems can be computed in parallel. An efficient solution algorithm is developed to solve the optimization problems of the hierarchy. The algorithm has been shown to converge to near-optimal solutions in a finite number of iterations. Furthermore, the algorithm provides optimal solutions for a special case of the planning problem. The hierarchical approach is evaluated with respect to computational complexity, memory requirements, and the quality of the resulting production plans. The hierarchical approach is also tested on an industrial case and the resulting plan is compared with the one obtained from the company's Manufacturing Resource Planning system.
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    Automated Manufacturability Analysis of Machined Parts
    (1995) Gupta, Satyandra K.; Zhang, G.M.; Nau, D.S.; ISR
    Because of pressing demands to reduce lead time and product cost, increasing research attention is being given to integration of engineering design and manufacturing. In this thesis, a systematic approach has been developed for computer-aided manufacturability analysis of machined parts. This approach can be used during design stages to improve the product quality from the manufacturing point of view.

    Evaluating the manufacturability of a proposed design involves determining whether or not it is manufacturable with a given set of manufacturing operations - and if so, then finding the associated manufacturing efficiency. In this research, the design is represented as a solid model. The tolerance and surface finish information is represented as attributes of various faces of the solid model. Machining features are used to model the available machining operations Since there can be several different ways to manufacture a proposed design, this requires considering alternative ways to manufacture it, in order to determine which one best meets the design and manufacturing objectives.

    The approach developed in this thesis is based on the systematic exploration of various machining plans. The first step is to identify all machining features which can potentially be used to machine the given design. Using these features, different machining plans are generated. Each time a new plan generated, it is examined to find whether it can produce the desired design tolerances. If a plan is found to be capable of meeting the tolerance specifications, then its rating is computed. If no machining plan can be found that is capable of producing the design, then the design cannot be machined using the given set of machining operations; otherwise, the manufacturability rating of the design is computed. Since various alternative ways of machining the part are considered in this approach, the conclusions about the manufacturability are more realistic compared to the approach where just one alternative is considered.

    It is anticipated that this research will help in speeding up the evaluation of new product designs in order to decide how or whether to manufacture them. Such a capability will be useful in responding quickly to changing demands and opportunities in the marketplace.

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    AI Planning Versus Manufacturing-Operation Planning: A Case Study
    (1995) Nau, D.S.; Gupta, Sandeep K.; Regli, W.C.; ISR
    Although AI planning techniques can potentially be useful in several manufacturing domains, this potential remains largely unrealized. In order to adapt AI planning techniques to manufacturing, it is important to develop more realistic and robust ways to address issues important to manufacturing engineers. Furthermore, by investigating such issues, AI researchers may be able to discover principles that are relevant for AI planning in general. As an example, in this paper we describe the techniques for manufacturing-operation planning used in IMACS (Interactive Manufacturability Analysis and Critiquing System), and compare and contrast them with the techniques used in classical AI planning systems. We describe how one of IMACS's planning techniques may be useful for AI planning in general -- and as an example, we describe how it helps to explain a puzzling complexity result in AI planning.
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    Generating Redesign Suggestions to Reduce Setup Cost: A Step towards Automated Redesign
    (1995) Das, Diganta; Gupta, Satyandra K.; Nau, Dana S.; ISR
    All mechanical designs pass through a series of formal and informal redesign steps, involving the analysis of functionality, manufacturability, cost and other life-cycle factors. The speed and efficacy of these steps has a major influence on the lead time of the product from conceptualization to launching. In this paper we propose a methodology for automatically generating redesign suggestions for reducing setup costs for machined parts.

    Given an interpretation of the design as a collection of machinable features, our approach is to generate alternate machining features by making geometric changes to the original features, and add them to the feature set of the original part to create an extended feature set. The designer may provide restrictions on the design indicating the type and extent of modifications allowed on certain faces and volumes, in which case all redesign suggestions generated by our approach honor those restrictions.

    By taking combinations of features from the extended feature set generated above, we can generate modified versions of the original design that still satisfy the designer's intent. By considering precedence constraints and approach directions for the machining operations as well as simple fixturability constraints, we can estimate the setup time that will be required for each design. Any modified design whose setup time is less than that of the original design can be presented to the designer as a possible way to modify the original design.