Object-Oriented Implementation of an Integrated Design and Analysis Tool for Fiber Placed Structures

2002 ◽  
Author(s):  
Kurt Schueler ◽  
Richard Hale
Keyword(s):  
Integrated Design ◽  
Object Oriented ◽  
Analysis Tool

A Knowledge-Based System for Machining Operation Planning in Feature Based, Open-Architecture Manufacturing

1996 ◽  
Author(s):  
James A. Stori ◽  
Paul K. Wright
Keyword(s):  
Machine Tool ◽  
Tool Path ◽  
Integrated Design ◽  
Object Oriented ◽  
Planning System ◽  
Open Architecture ◽  
Operation Planning ◽  
Trade Offs ◽  
Feature Based ◽  
Machining Parameter

Abstract Within the Integrated Design And Manufacturing Environment (IMADE), operation planning provides a mapping from geometric design primitives to machining operation sequences for manufacturing processes. Operation planning includes tool selection, machining parameter selection, and tool path generation. An object oriented approach to program structure is adopted, whereby features, operations and tools, inherit behaviors and attributes from the appropriate class-hierarchies for the part, the manufacturing operations, and tooling classes. A detailed example is presented illustrating the operation planning search algorithm. Scripts are generated by the individual machining operations for execution on a machine tool. Tooling information is maintained in an object-oriented database through the FAR libraries for Common LISP. Examples of particular process plans show that the inherent trade-offs between specified precision and machining time can be investigated. An Open Architecture Machine Tool (MOSAIC-PM) has been used to machine the parts created by the feature based design and planning system. The novel contributions of this paper relate to the demonstration of “seamless” links between, a) design, b) planning, and c) actual fabrication by milling.

Sustainable Manufacturing Analysis Using Activity Based Costing in SysML

2011 ◽  
Author(s):  
Yuriy Romaniw ◽  
Bert Bras ◽  
Tina Guldberg
Keyword(s):  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Functional Model ◽  
Object Oriented ◽  
Analysis Tool ◽  
Activity Based Costing ◽  
Multiple Perspectives ◽  
Multi Scale ◽  
Scale Modeling ◽  
Validation Experiment

This paper outlines an approach for dynamic, multi-scale modeling of manufacturing systems using an Activity Based Cost structure. The purpose of these models is to assess the sustainability of the manufacturing system and aid as a quick, first principle analysis tool for comparing alternatives. The models are constructed using a computer-aided version of the object oriented modeling language SysML. The model, known as the Activity Based Object Oriented Manufacturing Model (or ABOOM Model), is capable of decomposing a system from multiple perspectives, using the same library of activities reducing redundancy and complexity while increasing modularity. The model is built in MagicDraw SysML, using ParaMagic and Mathematica to parse and simulate the model and return numerical results. This paper builds on a project previously presented in its infancy at IDETC/CIE 2009. This paper presents a functional model structure now that the project has matured and nears the next phase of implementation. Executable hypothetical case study instance structures are presented as well as results from a validation experiment performed since the project was first presented. This paper summarizes the results from the case studies as well as the conclusions from the validation experiment.

scholarly journals LOICA: Logical Operators for Integrated Cell Algorithms

2021 ◽  
Author(s):  
Gonzalo Vidal ◽  
Carlos Vidal-Céspedes ◽  
Timothy James Rudge
Keyword(s):  
Design Automation ◽  
Object Oriented ◽  
Analysis Tool ◽  
Genetic Circuits ◽  
Logical Operators ◽  
Object Oriented Design ◽  
Design Build ◽  
High Level ◽  
Python Package ◽  
Mathematical And Computational Modeling

Mathematical and computational modeling is essential to genetic design automation and for the synthetic biology design-build-test-learn cycle. The construction and analysis of models is enabled by abstraction based on a hierarchy of components, devices, and systems that can be used to compose genetic circuits. These abstract elements must be parameterized from data derived from relevant experiments, and these experiments related to the part composition of the abstract components of the circuits measured. Here we present LOICA (Logical Operators for Integrated Cell Algorithms), a Python package for modeling and characterizing genetic circuits based on a simple object-oriented design abstraction. LOICA uses classes to represent different biological and experimental components, which generate models through their interactions. High-level designs are linked to their part composition via SynBioHub. Furthermore, LOICA communicates with Flapjack, a data management and analysis tool, to link to experimental data, enabling abstracted elements to characterize themselves.

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