Robustness Optimization of Product Assembly Architecture for Personalization

2021 ◽  
Author(s):  
Changbai Tan ◽  
S. Jack Hu ◽  
Theodor Freiheit ◽  
Kira Barton ◽  
Mihaela Banu
Keyword(s):  
Robustness Optimization ◽  
Product Assembly

Toying With Engineering: Teaching Engineers to Be Entrepreneurial by Developing a Toy

2021 ◽  
pp. 251512742110290
Author(s):  
Smitesh Bakrania
Keyword(s):  
Engineering Students ◽  
Business Case ◽  
Stem Fields ◽  
The Past ◽  
Middle Schoolers ◽  
Assembly Instructions ◽  
Design Projects ◽  
Product Assembly ◽  
Engineering Concept

Most engineering design projects focus primarily on the engineering fundamentals. Studying the business case or manufacturability of a design is often left for other courses, if at all. To address this gap, an existing mechanical engineering course project was modified by embedding the interdependent entrepreneurial dimensions. In the past, junior engineering students developed a reciprocating air engines over two semesters. The modified project extended the engineering fundamentals into an entrepreneurial venture. To accomplish this, students were asked to propose an air engine toy for middle schoolers. The proposed toy had to be assembled, provide a learning opportunity, and demonstrate utility. The students had to ensure the product appealed to those interested in the STEM fields. The students, working in groups, created renders of the final product, assembly instructions, and a guided worksheet for the kids to explore the underlying engineering concept. The groups produced a website with a video pitching their toy concepts. This case study exemplifies how any engineering endeavor can be modified to capture a more holistic simulation of the profession.

scholarly journals Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3633
Author(s):  
Rytis Augustauskas ◽  
Arūnas Lipnickas ◽  
Tadas Surgailis
Keyword(s):  
Neural Network ◽  
Network Architecture ◽  
Proposed Model ◽  
Drilling Quality ◽  
Drilling Operations ◽  
Spatial Pyramid Pooling ◽  
Automated Object Detection ◽  
Wooden Furniture ◽  
Product Assembly ◽  
Small Bump

Drilling operations are an essential part of furniture from MDF laminated boards required for product assembly. Faults in the process might introduce adverse effects to the furniture. Inspection of the drilling quality can be challenging due to a big variety of board surface textures, dust, or woodchips in the manufacturing process, milling cutouts, and other kinds of defects. Intelligent computer vision methods can be engaged for global contextual analysis with local information attention for automated object detection and segmentation. In this paper, we propose blind and through drilled holes segmentation on textured wooden furniture panel images using the UNet encoder-decoder modifications enhanced with residual connections, atrous spatial pyramid pooling, squeeze and excitation module, and CoordConv layers for better segmentation performance. We show that even a lightweight architecture is capable to perform on a range of complex textures and is able to distinguish the holes drilling operations’ semantical information from the rest of the furniture board and conveyor context. The proposed model configurations yield better results in more complex cases with a not significant or small bump in processing time. Experimental results demonstrate that our best-proposed solution achieves a Dice score of up to 97.89% compared to the baseline U-Net model’s Dice score of 94.50%. Statistical, visual, and computational properties of each convolutional neural network architecture are addressed.

Minimizing the cost of products manufactured by the assembly line

2020 ◽  
pp. 483-487
Author(s):  
N.I. Aristova
Keyword(s):  
Computer Modeling ◽  
Assembly Line ◽  
Scientific Research ◽  
The Self ◽  
Manufactured Products ◽  
The Cost ◽  
Assembly Operations ◽  
Automation Tools ◽  
Probabilistic Nature ◽  
Product Assembly

A significant criterion for the functioning of an assembly line is to minimize the cost of manufactured products, for the achievement of which approaches are currently used that apply computer modeling and the hierarchical principle of product assembly, the approach, as well as taking into account the probabilistic nature of the assembly operations. An overview of scientific research aimed at solving these problems is given. An approach has been proposed that makes it possible to assess the efficiency of production in the self-reproduction of automation tools by the criterion of minimizing the cost of manufactured products.

Nutzung von Flexibilitätspotenzialen im Störungsmanagement*/Potentials of flexibility in the disruption management of large-scale product assembly

2016 ◽  
Vol 106 (09) ◽  
pp. 631-636
Author(s):  
H. Prinzhorn ◽  
M. Zenker ◽  
R. Sporrer ◽  
P. Prof. Nyhuis
Keyword(s):  
Production System ◽  
Large Scale ◽  
Disruption Management ◽  
Short Term ◽  
The Impact ◽  
Product Assembly ◽  
Term Response

Die hohe Störfanfälligkeit bei der Montage großskaliger Produkte verlangt eine kurzfristige Auswahl von Maßnahmen zur Reaktion auf Störungen, um Auswirkungen wie Lieferterminverspätungen oder Auslastungsverluste zu reduzieren. Die Nutzung von Flexibilitätspotenzialen eines Produktionssystems stellt einen Ansatz dar, um diese Herausforderung zu bewältigen. Dieser Fachbeitrag zeigt auf, welche Flexibilitätspotenziale in diesem speziellen Umfeld zur Verfügung stehen und genutzt werden können.   Assembling large-scale products involves frequent process interruptions why in order to reduce the impact of interruptions, a short-term response is necessary to reduce delivery delays and idle times of resources. An approach for challenge this represents the flexibility of a production system. Regarding the environment of large-scale product assembly, it has to be shown which potentials of flexibility are able to use in a short-term manner.

Assembly variation analysis of complicated products based on rigid–flexible hybrid vector loop

2018 ◽  
Vol 233 (10) ◽  
pp. 2099-2114 ◽  
Author(s):  
Zhenyu Liu ◽  
Shien Zhou ◽  
Chan Qiu ◽  
Jianrong Tan
Keyword(s):  
Probability Density ◽  
Loop Model ◽  
Feature Points ◽  
Variation Analysis ◽  
Manufacturing Error ◽  
Density Distributions ◽  
Mechanical Products ◽  
Flexible Parts ◽  
Probability Density Distributions ◽  
Product Assembly

The performance of mechanical products is closely related to their key feature errors. It is essential to predict the final assembly variation by assembly variation analysis to ensure product performance. Rigid–flexible hybrid construction is a common type of mechanical product. Existing methods of variation analysis in which rigid and flexible parts are calculated separately are difficult to meet the requirements of these complicated mechanical products. Another methodology is a result of linear superposition with rigid and flexible errors, which cannot reveal the quantitative relationship between product assembly variation and part manufacturing error. Therefore, a kind of complicated products’ assembly variation analysis method based on rigid–flexible vector loop is proposed in this article. First, shapes of part surfaces and sidelines are estimated according to different tolerance types. Probability density distributions of discrete feature points on the surface are calculated based on the tolerance field size with statistical methods. Second, flexible parts surface is discretized into a set of multi-segment vectors to build vector-loop model. Each vector can be orthogonally decomposed into the components representing position information and error size. Combining the multi-segment vector set of flexible part with traditional rigid part vector, a uniform vector-loop model is constructed to represent rigid and flexible complicated products. Probability density distributions of discrete feature points on part surface are regarded as inputs to calculate assembly variation values of products’ key features. Compared with the existing methods, this method applies to the assembly variation prediction of complicated products that consist of both rigid and flexible parts. Impact of each rigid and flexible part’s manufacturing error on product assembly variation can be determined, and it provides the foundation of parts tolerance optimization design. Finally, an assembly example of phased array antenna verifies effectiveness of the proposed method in this article.

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