Study of Support Structure in Solid Based Rapid Prototyping Technique – FDM Approach

2015 ◽  
Vol 799-800 ◽  
pp. 329-334 ◽  
Author(s):  
Cany Mendonsa ◽  
K.V. Naveen ◽  
Prathik Upadhyaya ◽  
Anoop ◽  
Gowda B.P. Madhu

Support structure plays a vital role in Rapid Prototyping system in producing quality and dimensional accurate prints for a product having bridges or overhangs in a Rapid Prototyping product. The paper reports the selection of best support structure for any given model based on build time, material requirement and quality output of the prints. It also discusses the effects of introducing raft layers on a given model. A CAD model in STL (stereo lithography) format is an input to the Rapid Prototyping system. The CAD data is sliced for 3 different support structures by keeping constant printing parameters. Based on the build time, material consumption and part quality obtained, thebest support structure of any given model is experimentally found.

2019 ◽  
Vol 37 (3) ◽  
pp. 3897-3923 ◽  
Author(s):  
Khaja Moiduddin ◽  
Syed Hammad Mian ◽  
Hisham Alkhalefah ◽  
Usama Umer

2015 ◽  
Vol 21 (6) ◽  
pp. 671-674 ◽  
Author(s):  
M. A. Makhesana

Purpose – The purpose of this paper is to demonstrate the methodology of a decision-making method for selection of rapid prototyping process and comparison of it with previously developed methods. Design/methodology/approach – Here in this work, the methodology of improved complex proportional assessment (COPRAS) method is used which can handle even qualitative data for attributes. Findings – The proposed methodology is useful and can be applied to any kind of decision-making situation. Originality/value – The proposed method provides more effective results as compared to other methods and with a simple flow of analysis.


Author(s):  
Palky Mehta ◽  
H. L. Sharma

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.


1991 ◽  
Vol 16 (1) ◽  
pp. 97-107 ◽  
Author(s):  
James R. Cordy ◽  
Charles D. Halpern-Hamu ◽  
Eric Promislow

2008 ◽  
Vol 20 (1) ◽  
pp. 229-234 ◽  
Author(s):  
SuA Park ◽  
GeunHyung Kim ◽  
Yong Chul Jeon ◽  
YoungHo Koh ◽  
WanDoo Kim

Author(s):  
Aaron P. West ◽  
David W. Rosen

Abstract A process planning method is presented in this paper to aid stereolithography users in the selection of appropriate values of build process variables in order to achieve specific goals and characteristics that are desirable in the end prototype. To accomplish this, user-defined input in the form of goal preferences and feature tolerances are used to control how the prototype will be built by way of process planning. The user inputs will be used to drive the creation of the process plan so that a prototype is produced, which reflects the intent of the operator. The process planning method is adapted from multi-objective optimization and utilizes empirical data, analytical models, and heuristics to quantitatively relate build process variables to goals of surface finish, accuracy, and build time. The objective is to render decision support by handling tradeoffs among conflicting goals quantitatively and give the user some degree of insight into what quality of prototype may ultimately be produced. The process planning method is demonstrated on a part with non-trivial geometric features.


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