Probabilistic Modeling and Analysis of Fused Deposition Modeling Process Using Surrogate Models

2016 ◽  
Author(s):  
Yi Liu ◽  
Pingfeng Wang
Keyword(s):  
Manufacturing Process ◽  
Composite Structures ◽  
Fused Deposition Modeling ◽  
Probabilistic Modeling ◽  
Surrogate Models ◽  
Manufacturing Processes ◽  
Modeling And Analysis ◽  
Fused Deposition ◽  
Deposition Modeling

Various sources of uncertain parameters at multiple levels, from design steps to manufacturing processes, are often involved in composite structures. Probabilistic modeling and analysis of the composite structure and its manufacturing processes can provide underlying information to assess uncertainties and improve the quality of the developed composite structures. This paper presents a stochastic multi-level modeling framework considering material, structural, modeling parameters as well as the manufacturing process based on a surrogate model. An enhanced laminate theory is employed to determine the elastic constants of the composite materials considering imperfect bonding among filaments in the manufacturing process. To improve the computational efficiency in simulation-based reliability approach, the evaluation of the structure properties is approximated by employing surrogate models based upon the physics model. To apply the present framework, a case study with a composite laminate beam under three-point bending, which is made through fused deposition modeling, is conducted, and the case study results demonstrate the efficacy of the presented modeling scheme and analysis methodology.

Investigations for Mechanical Properties of Hybrid Investment Casting: A Case Study

2014 ◽  
Vol 808 ◽  
pp. 89-95 ◽  
Author(s):  
Parlad Kumar ◽  
Rupinder Singh ◽  
I.P.S. Ahuja
Keyword(s):  
Investment Casting ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Casting Process ◽  
Manufacturing Processes ◽  
Biomedical Implant ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Investment Casting Process

Conventional investment casting is one of the old manufacturing processes. It involves expensive tooling for making sacrificial wax patterns to make ceramic moulds. However, with the emergence of rapid prototyping technologies, now it is possible to make and use plastic patterns instead of wax patterns along with some advantages. In this paper, plastic patterns have been prepared by using fused deposition modeling and used for investment casting process. A case study has been discussed to make a biomedical implant by the hybridization of fused deposition modeling with investment casting. Dimensional accuracy, surface finish and hardness of the casted biomedical implants have been tested and reported.

Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Hari P. N. Nagarajan ◽  
Hossein Mokhtarian ◽  
Hesam Jafarian ◽  
Saoussen Dimassi ◽  
Shahriar Bakrani-Balani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Additive Manufacturing ◽  
Fused Deposition Modeling ◽  
Expert Knowledge ◽  
Fused Deposition ◽  
Knowledge Based ◽  
Deposition Modeling ◽  
Artificial Neural

Additive manufacturing (AM) continues to rise in popularity due to its various advantages over traditional manufacturing processes. AM interests industry, but achieving repeatable production quality remains problematic for many AM technologies. Thus, modeling different process variables in AM using machine learning can be highly beneficial in creating useful knowledge of the process. Such developed artificial neural network (ANN) models would aid designers and manufacturers to make informed decisions about their products and processes. However, it is challenging to define an appropriate ANN topology that captures the AM system behavior. Toward that goal, an approach combining dimensional analysis conceptual modeling (DACM) and classical ANNs is proposed to create a new type of knowledge-based ANN (KB-ANN). This approach integrates existing literature and expert knowledge of the AM process to define a topology for the KB-ANN model. The proposed KB-ANN is a hybrid learning network that encompasses topological zones derived from knowledge of the process and other zones where missing knowledge is modeled using classical ANNs. The usefulness of the method is demonstrated using a case study to model wall thickness, part height, and total part mass in a fused deposition modeling (FDM) process. The KB-ANN-based model for FDM has the same performance with better generalization capabilities using fewer weights trained, when compared to a classical ANN.

scholarly journals Low-Cost Additive Manufacturing Techniques Applied to the Design of Planar Microwave Circuits by Fused Deposition Modeling

Polymers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1946 ◽  
Author(s):  
Héctor García-Martínez ◽  
Ernesto Ávila-Navarro ◽  
Germán Torregrosa-Penalva ◽  
Alberto Rodríguez-Martínez ◽  
Carolina Blanco-Angulo ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Process ◽  
Fused Deposition Modeling ◽  
Low Cost ◽  
Microwave Frequency ◽  
Microwave Circuits ◽  
Fused Deposition ◽  
Microwave Electronic ◽  
Deposition Modeling ◽  
Manufacturing Techniques

This work presents a study on the implementation and manufacturing of low-cost microwave electronic circuits, made with additive manufacturing techniques using fused deposition modeling (FDM) technology. First, the manufacturing process of substrates with different filaments, using various options offered by additive techniques in the manufacture of 3D printing parts, is described. The implemented substrates are structurally analyzed by ultrasound techniques to verify the correct metallization and fabrication of the substrate, and the characterization of the electrical properties in the microwave frequency range of each filament is performed. Finally, standard and novel microwave filters in microstrip and stripline technology are implemented, making use of the possibilities offered by additive techniques in the manufacturing process. The designed devices were manufactured and measured with good results, which demonstrates the possibility of using low-cost 3D printers in the design process of planar microwave circuits.

scholarly journals Development and Accuracy Test of a Fused Deposition Modeling (FDM) 3D Printing using H-Bot Mechanism

2021 ◽  
Vol 3 (1) ◽  
pp. 46-53
Author(s):  
Budi Hadisujoto ◽  
Robby Wijaya
Keyword(s):  
3D Printing ◽  
Manufacturing Process ◽  
Fused Deposition Modeling ◽  
Industrial Revolution ◽  
3D Printer ◽  
Initial Development ◽  
Fused Deposition ◽  
Accuracy Test ◽  
Custom Made ◽  
Deposition Modeling

Additive manufacturing process known as the 3D printing process is an advanced manufacturing process including one of the components to support industrial revolution 4.0. The initial development of a 3D printing machine at Sampoerna University is the background of this research. The 3D printing setup of Fused Deposition Modeling (FDM) was built using H-bot moving mechanism by considering the rigidity aspect. The FDM printing method is selected due to its cost and reliability. In this early development, the brackets were custom made using a 3D printer with Polylactic Acid (PLA) material. The result showed that the software worked properly in accordance with the assembled mechanical and electrical parts. The 3D printer could print simple objects such as planes and cubes with small dimensions. However, the printing specimen still lacked accuracy caused by the less rigidity of linear rail brackets, less coplanar belt arrangement, and error in some electronic components.

scholarly journals 4D Printing Self-Morphing Structures

Materials ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1353 ◽  
Author(s):  
Mahdi Bodaghi ◽  
Reza Noroozi ◽  
Ali Zolfagharian ◽  
Mohamad Fotouhi ◽  
Saeed Norouzi
Keyword(s):  
Composite Structures ◽  
Fused Deposition Modeling ◽  
Functionally Graded ◽  
Complex Structures ◽  
Mechanical Behaviors ◽  
4D Printing ◽  
Digital Tool ◽  
Fused Deposition ◽  
Straightforward Method ◽  
Deposition Modeling

The main objective of this paper is to introduce complex structures with self-bending/morphing/rolling features fabricated by 4D printing technology, and replicate their thermo-mechanical behaviors using a simple computational tool. Fused deposition modeling (FDM) is implemented to fabricate adaptive composite structures with performance-driven functionality built directly into materials. Structural primitives with self-bending 1D-to-2D features are first developed by functionally graded 4D printing. They are then employed as actuation elements to design complex structures that show 2D-to-3D shape-shifting by self-bending/morphing. The effects of printing speed on the self-bending/morphing characteristics are investigated in detail. Thermo-mechanical behaviors of the 4D-printed structures are simulated by introducing a straightforward method into the commercial finite element (FE) software package of Abaqus that is much simpler than writing a user-defined material subroutine or an in-house FE code. The high accuracy of the proposed method is verified by a comparison study with experiments and numerical results obtained from an in-house FE solution. Finally, the developed digital tool is implemented to engineer several practical self-morphing/rolling structures.

An Adaptive Tool Path Generation for Fused Deposition Modeling

2013 ◽  
Vol 819 ◽  
pp. 7-12 ◽  
Author(s):  
Yu An Jin ◽  
Yong He ◽  
Jian Zhong Fu
Keyword(s):  
Fused Deposition Modeling ◽  
Tool Path ◽  
Tool Path Generation ◽  
Path Generation ◽  
Tool Paths ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Proportional Relationship ◽  
Adaptive Tool

This paper presents an adaptive tool path generation method for Fused Deposition Modeling (FDM). The proposed method consists of three steps. First, an adaptive slicing considering both surface quality and building time is proposed for following tool path generation. Second, a hybrid tool path strategy is introduced to improve the boundary contours accuracy. This step is an adaptive process to choose an appropriate proportional relationship between the two types of tool paths according to the specific fabrication requirements. For further improvement, a tool path adjustment is employed on the original tool paths. A case study of a sliced layer is used to verify the feasibility and advantage of the proposed method.

scholarly journals Investigation of Investment Casting Pattern Using Fused Deposition Modeling

2021 ◽  
pp. 201-207
Author(s):  
Kamal Ukey ◽  
Santosh Hiremath ◽  
Himadri Majumder
Keyword(s):  
Investment Casting ◽  
Fused Deposition Modeling ◽  
Low Cost ◽  
Process Time ◽  
Medium Size ◽  
Fused Deposition ◽  
Economic Climate ◽  
Deposition Modeling ◽  
Metallic Parts

In today's economic climate, various organizations fight with decreasing sales and increasing costs. However, industries that have implemented the process of investment casting are one of the ways of manufacturing complex metallic parts at a low cost. High tooling costs and long manufacturing time are associated with the metal molds production for producing investment casting wax (sacrificial) patterns. It leads to a problem with cost justification for personalized single casting or production of small lots. The present study evaluates the suitability of the fused deposition modeling (FDM) fabricated pattern for investment casting. For this, a case study on a part was also conducted to collect experimental data regarding the process. A trial component was fabricated in an FDM machine and then cast by the investment method. This research resulted in reduced process time and cost for the small and medium size of the batch.

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