A flexible approach to modeling and simulation of polymeric composite materials processing using object oriented techniques

Numerical results can be conveyed effectively to any one using an object-oriented framework. Therefore, it becomes essential to couple the object-oriented approach with numerical analysis. A simple object-oriented methodology for creating a graphical user interface (GUI) as a framework is presented. This work tries to fill a gap between scientific computer code written in a noninteractive way and interactive programming in materials processing. The GUI interface framework has been created in such a way that at any point of time one need not create a new GUI framework. The user only needs to create the process object and attach it to the framework. Two examples have been presented involving interactive finite volume-based gas carburizing and interactive finite difference-based Acheson process (used for the production of silicon carbide).

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“…[7] In VB, much of the code involves some form of OOP because all the controls (buttons, text boxes, labels, etc.) on the forms.…”

Section: Programming Languagementioning

confidence: 99%

An Object-Oriented Modeling Approach in Materials Processing: Case Study of the Acheson and Carburizing Processes

Gupta

Hind

2004

Materials and Manufacturing Processes

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Instrumentation network design and upgrade for process monitoring and fault detection

2004

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A mixed-integer linear programming formulation for the design of sensor networks for simultaneous process monitoring and fault detection/resolution is presented. The objective is to find a cost-optimal sensor set for a chemical process that provides a good estimate of the state of the system and detects as well as locate a preestablished set of faults.A continuously stirred tank reactor example is provided and extensions are discussed. ©

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New MILP formulation for instrumentation network design and upgrade

Bagajewicz

Cabrera

2002

AIChE Journal

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The problem of instrumentation network design and upgrade consists of determining the optimal set of instruments to obtain sufficiently accurate and reliable estimates of variables. An existing formulation of the cost optimal sensor network design and upgrade problem (Bagajewicz, 1997) is in the form of a mathematical programming problem, but it has the disadvantage that the constraints are not stated explicitly in analytical form, forcing therefore a special tree search solution procedure. An alternative MILP formulation is presented, which is useful for small to medium size problems, where all constraints are explicit.

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A flexible approach to modeling and simulation of polymeric composite materials processing using object oriented techniques

Cited by 8 publications

References 24 publications

An Object-Oriented Modeling Approach in Materials Processing: Case Study of the Acheson and Carburizing Processes

An Object-Oriented Modeling Approach in Materials Processing: Case Study of the Acheson and Carburizing Processes

Instrumentation network design and upgrade for process monitoring and fault detection

New MILP formulation for instrumentation network design and upgrade

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