Creation of Assembly Models to Support Automated Concept Generation

Author(s):  
Venkat Rajagopalan ◽  
Cari R. Bryant ◽  
Jeremy Johnson ◽  
Daniel A. McAdams ◽  
Robert B. Stone ◽  
...  

This paper presents an assembly model process that fully characterizes the structural and flow interactions between artifacts in a product. Reverse engineering techniques were employed during the analysis of thirty-three existing consumer products to arrive at a concise standardization of the modeling process. During the product investigation, four different types of structural interactions were identified. These structural interactions, couple, secure, position and guide, were defined using a standardized vocabulary of functional terms. These four structural interactions are rigorously described in this paper in an effort to outline an assembly model method that is accurate and repeatable. Additionally, flow interactions between components are also characterized within the presented modeling technique. A rough representation of the artifact configuration of a product can also be achieved through placement of the component structures in the model. Analysis of the consumer product set also revealed that a new design tool can be generated using the structural interaction information contained in the described assembly models.

Author(s):  
Edward P. Morse

There is no doubt that today’s mechanical systems are complex. Mechanical systems tend towards greater complexity as each component interacts with a larger number of neighboring components. This structure of interaction permits function-sharing of the components — one of the hallmarks of creative design. Function-sharing is one of the interesting ways in which mechanical design differs from, for example, solid state circuit design. Assembly models that require fixed contact between components at specified locations to determine their relative positions will also have gaps that provide clearance between the components. The complexity of these assembly models is linear in the number of gaps, as the clearance at each gap is dependent on a single set of dimensions. However, if the assembly model is defined in terms of potential (vs. required) contacts between components, the complexity of the analysis increases dramatically. In this paper we describe the complexity of assemblies analyzed in a single direction (i.e. one-dimensional analyses) and propose a means of characterizing different types of assemblies.


2021 ◽  
Vol 13 (11) ◽  
pp. 6194
Author(s):  
Selma Tchoketch_Kebir ◽  
Nawal Cheggaga ◽  
Adrian Ilinca ◽  
Sabri Boulouma

This paper presents an efficient neural network-based method for fault diagnosis in photovoltaic arrays. The proposed method was elaborated on three main steps: the data-feeding step, the fault-modeling step, and the decision step. The first step consists of feeding the real meteorological and electrical data to the neural networks, namely solar irradiance, panel temperature, photovoltaic-current, and photovoltaic-voltage. The second step consists of modeling a healthy mode of operation and five additional faulty operational modes; the modeling process is carried out using two networks of artificial neural networks. From this step, six classes are obtained, where each class corresponds to a predefined model, namely, the faultless scenario and five faulty scenarios. The third step involves the diagnosis decision about the system’s state. Based on the results from the above step, two probabilistic neural networks will classify each generated data according to the six classes. The obtained results show that the developed method can effectively detect different types of faults and classify them. Besides, this method still achieves high performances even in the presence of noises. It provides a diagnosis even in the presence of data injected at reduced real-time, which proves its robustness.


2010 ◽  
Vol 431-432 ◽  
pp. 9-12 ◽  
Author(s):  
Dan Zhang ◽  
Dun Wen Zuo ◽  
Guang Ming Jiao ◽  
Jian Xie ◽  
Hua Lin Zhou ◽  
...  

According to the characteristics of aerospace product, the model representation and storage of the rigid part and cable harness is proposed. The Dendritic Correlative Model of Mixed Assembly of Rigid and Flexible Parts (DCMMA-RFP) is introduced based on the hierarchical model and graph model. The assembly model which realizes the lightweight storage can clearly represent the hierarchy relation and assembly process of aerospace products. The assembly modeling process in the virtual assembly environment is detailed described. Finally the effectiveness of DCMMA-RFP is verified by an example.


Author(s):  
Cari R. Bryant ◽  
Matt Bohm ◽  
Robert B. Stone ◽  
Daniel A. McAdams

This paper builds on previous concept generation techniques explored at the University of Missouri - Rolla and presents an interactive concept generation tool aimed specifically at the early concept generation phase of the design process. Research into automated concept generation design theories led to the creation of two distinct design tools: an automated morphological search that presents a designer with a static matrix of solutions that solve the desired input functionality and a computational concept generation algorithm that presents a designer with a static list of compatible component chains that solve the desired input functionality. The merger of both the automated morphological matrix and concept generation algorithm yields an interactive concept generator that allows the user to select specific solution components while receiving instantaneous feedback on component compatibility. The research presented evaluates the conceptual results from the hybrid morphological matrix approach and compares interactively constructed solutions to those returned by the non-interactive automated morphological matrix generator using a dog food sample packet counter as a case study.


Author(s):  
Matt R. Bohm ◽  
Karl R. Haapala ◽  
Kerry Poppa ◽  
Robert B. Stone ◽  
Irem Y. Tumer

This paper describes efforts taken to further transition life cycle analysis techniques from the latter, more detailed phases of design, to the early-on conceptual phase of product development. By using modern design methodologies such as automated concept generation and an archive of product design knowledge, known as the Design Repository, virtual concepts are created and specified. Streamlined life cycle analysis techniques are then used to determine the environmental impacts of the virtual concepts. As a means to benchmark the virtual results, analogous real-life products that have functional and component similarities are identified. The identified products are then scrutinized to determine their material composition and manufacturing attributes in order to perform an additional round of life cycle analysis for the actual products. The results of this research show that enough information exists within the conceptual phase of design (utilizing the Design Repository) to reasonably predict the relative environmental impacts of actual products based on virtual concepts.


Author(s):  
Jung S. Oh ◽  
Dean Q. Lewis ◽  
Daeyong Lee ◽  
Gary A. Gabriele

Abstract Many different types of snap-fits have been developed to replace conventional fasteners, and research efforts have been made to characterize their performance. It is often tedious to look for design equations for unique types of snap-fits to calculate the insertion and retention forces. If found, these equations tend to be long, complex, and difficult to use. For this reason, a snap-fit calculator has been created to help in designing integral attachment features. Studies of seven most commonly used snap-fits (annular snap, bayonet-and-finger, cantilever hook, cantilever-hole, compressive hook, L-shaped hook, and U-shaped, hook) were used to provide the equations implemented in this snap-fit calculator, more fasteners than any other snap-fit calculator available. This tool aids in designing snap-fits to meet specific loading requirements by allowing the designer to size the feature to obtain desired estimates for maximum insertion and retention forces. The software for this design tool was written in JAVA™ language that is independent of operating system platforms and can be distributed at a company site-wide over an intranet or worldwide over the Internet. This makes it easily accessible to a user, and universal upgrades can be achieved by simply updating the software at the server location. Designers will find this tool to be useful in the design process and the most convenient way to estimate the performance of snap-fits. This paper describes the development and operation of the IFP snap-fit calculator including several case studies comparing the calculated results to experimental data.


Author(s):  
Jayesh Srivastava ◽  
L. H. Shu

Much existing work aims to understand how to change human behavior through product-design interventions. Given the diversity of individuals and their motivations, solutions that address different motives are surprisingly rare. We aim to develop and validate a framework that clearly identifies and targets different types of behavioral motives in users. We present a behavior model comprising egoistic, sociocultural and altruistic motives, and apply the model to sustainable behavior. We confirmed the explanatory power of the behavior model by categorizing user comments about an international environmental agreement from multiple news sources. We next developed concepts, each intended to target a single motive type, and elicited evaluations from online respondents who self-assessed their motivation type after evaluating the concepts. We present and discuss correlation results between motive types and preference for products that target these types for two iterations of the experiment. Deviations from our expected results are mainly due to unexpected perceptions, both positive and negative, of our concepts. Despite this, the main value of this work lies in the explicit consideration of a manageable number of different types of motives. A proposed design tool incorporates the three types of motives from the model with the different levels of persuasion others have proposed to change user behavior.


2013 ◽  
Vol 753-755 ◽  
pp. 880-883
Author(s):  
Li Xin Wang ◽  
Ming Yue Guo ◽  
Yu Guo

The 3D (three dimensional) assembly model should provide all of the product information in order to realize pure 3D modeling in PLM(Product Lifecycle Management). This paper briefly introduces the development of MBD (Model-based Definition) at first, and then the overall information needed in 2D (two dimensional) assembly drawing is presented. At last, the overall needed information (dimensions, technical requirement, BOM(Bill of Materials)) is acted upon 3D assembly model successfully through the use of functions, for example, annotation, layer and view in Pro/ENGINEER.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Andrius Slavickas ◽  
Raimondas Pabarčius ◽  
Aurimas Tonkūnas ◽  
Eugenijus Ušpuras

The effect of BWR fuel assembly 3D model on void reactivity coefficient (VRC) estimation is investigated. VRC values were calculated for different BWR assembly models applying deterministic T-NEWT and Monte Carlo KENO-VI functional modules of SCALE 6.1 code package. The difference between deterministic T-NEWT and Monte Carlo KENO-VI simulations is negligible (0.18 pcm/%). The influence of the assumed more detailed coolant density profile was estimated as well. VRC increases with the application of a larger number of coolant density values across fuel assembly height. It was shown that the coolant density profile described by 6 values per height could be considered sufficient from prospect of VRC estimation, as a more detailed density profile has impact below 1% on total assembly void effects. VRC values were decomposed to values for individual nodes and isotopes, since decomposition provides useful insights to describe the overall behaviour of VRC in detail.


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