Optimized Mask Image Projection for Solid Freeform Fabrication

2009 ◽  
Author(s):  
Chi Zhou ◽  
Yong Chen ◽  
Richard A. Waltz
Keyword(s):  
Programming Model ◽  
Solid Freeform Fabrication ◽  
Mixed Integer ◽  
Important Process ◽  
Freeform Fabrication ◽  
Part Quality ◽  
Image Projection ◽  
Physical Experiments ◽  
Cad Models ◽  
Effectiveness And Efficiency

Solid freeform fabrication (SFF) processes based on mask image projection have the potential to be fast and inexpensive. More and more research and commercial systems have been developed based on these processes. For the SFF processes, the mask image planning is an important process planning step. In this paper, we present an optimization based method for mask image planning. It is based on a light intensity blending technique called pixel blending. By intelligently controlling pixels’ gray scale values, the SFF processes can achieve a much higher XY resolution and accordingly better part quality. We mathematically define the pixel blending problem and discuss its properties. Based on the formulation, we present several optimization models for solving the problem including a mixed integer programming model, a linear programming model, and a two-stage optimization model. Both simulated and physical experiments for various CAD models are presented to demonstrate the effectiveness and efficiency of our method.

Optimized Mask Image Projection for Solid Freeform Fabrication

2009 ◽  
Vol 131 (6) ◽  
Author(s):  
Chi Zhou ◽  
Yong Chen ◽  
Richard A. Waltz
Keyword(s):  
Programming Model ◽  
Solid Freeform Fabrication ◽  
Mixed Integer ◽  
Important Process ◽  
Freeform Fabrication ◽  
Part Quality ◽  
Image Projection ◽  
Physical Experiments ◽  
Cad Models ◽  
Effectiveness And Efficiency

Solid freeform fabrication (SFF) processes based on mask image projection have the potential to be fast and inexpensive. More and more research and commercial systems have been developed based on these processes. For the SFF processes, the mask image planning is an important process planning step. In this paper, we present an optimization based method for mask image planning. It is based on a light intensity blending technique called pixel blending. By intelligently controlling pixels’ gray scale values, the SFF processes can achieve a much higher XY resolution and accordingly better part quality. We mathematically define the pixel blending problem and discuss its properties. Based on the formulation, we present several optimization models for solving the problem including a mixed-integer programming model, a linear programming model, and a two-stage optimization model. Both simulated and physical experiments for various CAD models are presented to demonstrate the effectiveness and efficiency of our method.

A Computational Design Framework for a Rapid Solid Freeform Fabrication Process

2000 ◽  
Author(s):  
Deepesh Khandelwal ◽  
T. Kesavadas
Keyword(s):  
Solid Freeform Fabrication ◽  
Optimization Technique ◽  
Three Dimensional ◽  
Computational Design ◽  
Freeform Fabrication ◽  
3D Cad ◽  
Build Time ◽  
Cad Models ◽  
Efficient Machine ◽  
Novel Concept

Abstract Solid Freeform Fabrication (SFF) techniques in recent years have shown tremendous promise in reducing the design time of products. This technique enables designers to get three-dimensional physical prototypes from 3D CAD models. Although SFF has gained popularity, the manufacturing time and cost have limited its use to small and medium sized parts. In this paper we have proposed a novel concept for rapidly building SFF parts by inserting prefabricated inserts into the fabricated part. A computational algorithm was developed for determining ideal placement of inserts/cores in the CAD model of the part being prototyped using a heuristic optimization technique called Simulated Annealing. This approach will also allow the designers to build multi-material prototypes using the Rapid Prototyping (RP) technique. By using cheaper pre-fabricates instead of costly photopolymers, the production cost of the SFFs can be reduced. Additionally it will also reduce build time, resulting in efficient machine utilization.

scholarly journals Integrated Optimization on Assortment Packing and Collaborative Shipping for Fashion Clothing

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Qianying Wang ◽  
Yiping Jiang ◽  
Yang Liu
Keyword(s):  
Numerical Experiments ◽  
Optimization Problem ◽  
Programming Model ◽  
Social Resources ◽  
Mixed Integer ◽  
Integrated Optimization ◽  
Proposed Model ◽  
Integer Nonlinear Programming ◽  
Nonlinear Programming Model ◽  
Effectiveness And Efficiency

With the diversification of customer’s demand and the shortage of social resources, meeting diverse requirements of customers and reducing logistics costs have attracted great attention in logistics area. In this paper, we address an integrated optimization problem that combines fashion clothing assortment packing with collaborative shipping simultaneously. We formulate this problem as a mixed integer nonlinear programming model (MINLP) and then convert the proposed model into a simplified model. We use LINGO 11.0 to solve the transformed model. Numerical experiments have been conducted to verify the effectiveness and efficiency of the proposed model, and the numerical results show that the proposed model is beneficial to the fashion clothing assortment packing and collaborative shipping planning.

Radiometric and Metallurgical Analysis of Zone Formation in Elementary Laser Deposited Thin-Wall Structures

2013 ◽  
Author(s):  
Joshua J. Hammell ◽  
Michael A. Langerman ◽  
Nathan P. Saunders
Keyword(s):  
Solid Freeform Fabrication ◽  
Final Part ◽  
Thin Wall ◽  
Zone Formation ◽  
Freeform Fabrication ◽  
Part Quality ◽  
Post Process ◽  
Wall Structures ◽  
Deposition Parameters ◽  
Traditional Manufacturing

Laser Powder Deposition (LPD) is an additive manufacturing process used for solid freeform fabrication, surface modification, and part repair or remanufacture. This technology offers some significant advantages over traditional manufacturing processes, such as reduced post-process machining and reduced material waste. Most importantly, LPD offers increased flexibility in order to meet the demands of diverse markets. However, the connection between deposition parameters, thermal gradients, and final part quality is not sufficiently understood. The research discussed here shows how radiometric temperature measurements provide insight into the connection between process parameters and final part quality. These measurements can be used to augment the research and development process while maintaining process flexibility. Radiometric thermal data was collected during the deposition of ASTM/SAE 1045, 4130, and 4140 steel thin-wall samples. Several thermal zones were identified by radiometric analysis, and compared to post-process metallographic and dimensional inspection.

Remanufacturing system reliability analysis based on the uncertainty of part quality

2021 ◽  
pp. 1-11
Author(s):  
Jui-Chan Huang ◽  
Ming-Hung Shu ◽  
Bi-Min Hsu ◽  
Chien-Ming Hu ◽  
Meng-Chun Kao ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Production System ◽  
Programming Model ◽  
Three Dimensions ◽  
Mixed Integer ◽  
Part Quality ◽  
Mutation Operators ◽  
System Reliability Analysis ◽  
Maximum Completion Time

The remanufacturing industry is one of the important means to achieve sustainable development and resource recycling. It is of great significance to study the remanufacturing production system. This paper mainly studies the reliability of remanufacturing production system based on the uncertainty of part quality. In order to rationally arrange workshop production, minimize the maximum completion time and the cost of electricity in the production process, this study established a mixed integer linear programming model for the remanufacturing of flexible workshop based on batch processing of partial stations. In order to solve this mathematical model, the traditional genetic on the basis of the algorithm, the crossover and mutation operators of the genetic algorithm conforming to the model are designed, and finally combined with actual examples, compared with traditional batch scheduling to verify the effectiveness of the system. This research takes the remanufacturing of the Steyr engine crankshaft as the research object. Based on the uncertainty of crankshaft wear, the uncertainty of the crankshaft remanufacturing process is investigated and discussed. From the three dimensions of environment, economy and technology, from the remanufacturing process. The evaluation was carried out at the level of the process chain and the modeling process and method were verified, and the sustainability value of the worn crankshaft remanufacturing process was obtained. The remanufacturing production system experiment can show that the average sustainability values of the three batches of used crankshafts are SR1 = 0.9082, SR2 = 0.8669, SR3 = 0.7803. The system reliability analysis can provide a theoretical basis for the reliability of enterprise remanufacturing systems, and has important application and research value.

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