scholarly journals An Intelligent Environment for Simulating Mechanical Assembly Operations

Author(s):  
Satyandra K. Gupta ◽  
Christiaan J. J. Paredis ◽  
Rajarishi Sinha ◽  
Cheng-Hua Wang ◽  
Peter F. Brown

Abstract Rapid technical advances in many different areas of scientific computing provide the enabling technologies for creating a comprehensive simulation and visualization environment for assembly design and planning. We have built an intelligent environment in which simple simulations can be composed together to create complex simulations for detecting potential assembly problems. Our goal in this project is to develop high fidelity assembly simulation and visualization tools that can detect assembly related problems without going through physical mock-ups. In addition, these tools can be used to create easy-to-visualize instructions for performing assembly and service operations.

2017 ◽  
Vol 5 (1) ◽  
pp. 3-18 ◽  
Author(s):  
Germain Sossou ◽  
Frédéric Demoly ◽  
Ghislain Montavon ◽  
Samuel Gomes

Abstract Firstly introduced as a prototyping process, additive manufacturing (AM) is being more and more considered as a fully-edged manufacturing process. The number of AM processes, along with the range of processed materials are expanding. AM has made manufacturable shapes that were too difficult (or even impossible) to manufacture with conventional technologies. This has promoted a shift in engineering design, from conventional design for manufacturing and assembly to design for additive manufacturing (DFAM). Research efforts into the DFAM field have been mostly dedicated to part's design, which is actually a requirement for a better industrial adoption. This has given rise to topologically optimized and/or latticed designs. However, since AM is also capable of manufacturing fully functional assemblies requiring a few or no assembly operations, there is a need for DFAM methodologies tackling product's development more holistically, and which are, therefore, dedicated to assembly design. Considering all the manufacturing issues related to AM of assembly-free mechanisms and available post-processing capabilities, this paper proposes a top-down assembly design methodology for AM in a proactive manner. Such an approach, can be seen as the beginning of a shift from conventional design for assembly (DFA) to a new paradigm. From a product's concept and a selected AM technology, the approach first provides assistance in the definition of the product architecture so that both functionality and successful manufacturing (including post-processing) are ensured. Particularly, build-orientation and downstream processes' characteristics are taken into account early in the design process. Secondly, for the functional flow (energy, material, signal) to be appropriately conveyed by the right amount of matter, the methodology provides guidance into how the components can be designed in a minimalism fashion leveraging the shape complexity afforded by AM. A mechanical assembly as case study is presented to illustrate the DFAM methodology. It is found that clearances and material (be it raw unprocessed material or support structures) within them plays a pivotal role in a successful assembly's design to be additively manufactured. In addition, the methodology for components' design proves to be an efficient alternative to topology optimization. Though, the approach can be extended by considering a strategy for part consolidation and the possibility to manufacture the assemblies with more than one AM process. As regards components' design, considering anisotropy can also improved the approach. Highlights Additive manufacturing is capable of printing fully functional assemblies without any assembly operations. It is found that Design For Additive Manufacturing is currently mainly focused on part's design. A process-independent, structured and systematic method for designing assembly-free mechanisms (for AM) is proposed. Build orientation and downstream processes (including post-processing capabilities) are taken into account early in the design process. A method - based on functional flows - for part's design in a minimalist fashion, is proposed.


2007 ◽  
Vol 11 (4) ◽  
pp. 189-206 ◽  
Author(s):  
John E. Brough ◽  
Maxim Schwartz ◽  
Satyandra K. Gupta ◽  
Davinder K. Anand ◽  
Robert Kavetsky ◽  
...  

Author(s):  
Xuan F. Zha ◽  
Ling L. Li ◽  
Samuel Y. E. Lim

This paper presents a knowledge-intensive concurrent integration framework for designing, planning, analysis and simulation of assemblies, which is built upon P/T nets and multi-agent systems in AI. In the paper, critical issues are addressed on the implementation of intelligent assembly modeling, analysis and design, planning and simulation using knowledge intensive P/T net models, e.g., knowledge modeling and acquisition, function-behavior-structure modeling, fuzzy relational database, case-based reasoning, and assembly design language, etc. The developed multi-agent intelligent environment, RAPID Assembly system, can process various types of knowledge in assembly design, process and task planning, and assembly system design and simulation so that intelligent design, planning and simulation can be implemented in a virtual environment. It assists designers and manufacturing engineers to design and evaluate the product and its assembly processes and assembly systems (e.g., assembly feasibility, sequences, trajectories, and execution strategies) without building physical prototypes. Design cases are provided to illustrate how the system works.


Author(s):  
Daniela Faas

Experience with current Virtual Reality (VR) systems that simulate low clearance assembly operations with haptic feedback indicate that such systems are highly desirable tools in the evaluation of preliminary designs, as well as virtual training and maintenance processes. The purpose of this research is to develop methods to support manual low clearance assembly using haptic (force) feedback in a virtual environment. The results of this research will be used in an engineering framework for assembly simulation, training, and maintenance. The proposed method combines voxel-based collision detection and boundary representation to support both force feedback and constraint recognition. The key to this approach is developing the data structure and logic needed to seamlessly move between the two representations while supporting smooth haptic feedback. Collision forces and constraint-guided forces are blended to provide support for low clearance haptic assembly. This paper describes the development of the method.


Author(s):  
Zhi-Kui Ling ◽  
XiangYu Zhou ◽  
Chuck Mclean

Abstract An environment to facilitate assembly process planning is proposed in this study. It includes a design support system with two agents supporting the assembly process. One is assembly design agent, and the other is a geometric design agent. The assembly design agent consists of three modules: the assembly sequence planning module, the assembly resource planning module, and the assembly simulation module. The assembly sequence-planning module takes the design information and generates an assembly sequence. This sequence is structured in a tree form, called the Constructive Assembly Tree (CAT). The leaf nodes of the tree correspond to the components of the product. The intermediate nodes are the assembly process operators, each of which characterizes a particular assembly operation, and their associated subassemblies. The resource module assigns the necessary tools, fixtures, supply bins and other resources to each of the process operators. The assembly simulation module traverses a CAT, extracts the necessary assembly information, and drives external physical simulation/animation system to perform virtual assembly simulation/animation process.


Author(s):  
David E. Lee ◽  
Michel A. Melkanoff

Abstract Analysis of a product’s assembly properties is needed during the initial design stage in order to identify potential assembly problems. These problems affect product performance in the later stages of a product’s life cycle. An analysis methodology has been developed that supports product design analysis for assembly during the initial design stage. The methodology, referred to as the Assembly Design Evaluation Metric (ADEM), utilizes the incomplete nature of initial design data and a generic model of assembly operations in the analysis of a product design. ADEM generates ratings for each component of a product design and each process that would be needed to assemble the components together. From the individual component and process ratings, ADEM computes overall ratings for the product design itself. These overall product ratings can then be used to compare the differing iterations of a product design. Because ADEM provides an explicit model of assembly operations, different levels of data and process abstraction can be maintained and analyzed. This enables ADEM to evaluate product designs earlier in the design stage than existing design analysis methods such as DFA (design for assembly) techniques.


Author(s):  
Lihong Qiao ◽  
Yifan Qie ◽  
Yixin Zhu

Assembly simulations such as assembly process simulation and assembly tolerance simulation have become an effective means to evaluate and analyze product assembly design and assembly process planning. Being core aspect of simulation implementation, building an assembly simulation model is rather time-consuming because of its high complexity. Furthermore, modeling has a significant influence on the popularization and application of simulation technology. In this paper, data needed by assembly process and tolerance simulation are addressed to propose a data-driven approach for assembly simulation modeling. The application process and the architecture of modeling framework for assembly simulation are presented as well. An assembly sequence simulation example is given to illustrate the application of the framework. The framework provides a new idea for the realization of automatic modeling for assembly simulation.


Author(s):  
Xiumin Fan ◽  
Li Tian ◽  
Qichang He ◽  
Keyan Liu

Usually, virtual assembly simulation is based on fixed assembly relationships between parts which are extracted from product’s CAD models. And virtual assembly systems is mainly used to evaluate product assemblability. In order to enhance the function of virtual assembly system to more assembly-design-oriented, a method of dynamic assembly configuration based on part’s semantic modeling is presented. The part’s semantic model contains assembly features, semantic attributes and physical properties of a part. The uniformed part semantic information is defined based on part’s STEP models and described in XML format. Assembly process simulation for dynamic assembly relationship configuration is realized by semantic reasoning, such as the reasoning to determine mating parts, mating positions, construction/solving/navigation of geometry constraints, and generation and modification of assembly relationships. The method supports the assembly processes simulation from single parts to produce the entire assembly in the virtual environments and works without predefined associations between parts. A prototype system is developed and demonstrated with an excavator. The results show that different assembly configurations for product assembly design can be obtained and the assemblability can be evaluated during the virtual assembly simulation process.


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