scholarly journals Hole design quality identification in laser aided additive manufacturing

2016 ◽  
Vol 232 (5) ◽  
pp. 909-917 ◽  
Author(s):  
Il Hyuk Ahn ◽  
Seung Ki Moon ◽  
Guijun Bi
Keyword(s):  
Response Surface Methodology ◽  
Additive Manufacturing ◽  
Response Surface ◽  
Manufacturing Process ◽  
Three Dimensional ◽  
Geometric Error ◽  
Design Quality ◽  
Circular Holes ◽  
High Level

According to the increasing needs of three-dimensional printing technologies to satisfy high-level requirements, customization, and complicity, the quality of three-dimensional printed part becomes an important issue due to the layer-wise nature of additive manufacturing process. The objective of this study is to propose a methodology to identify the quality of three-dimensional printed parts with circular holes in the laser aided additive manufacturing process. We utilize a response surface methodology to represent the relationship between input variables (chord height tolerance and diameter of a hole) and response (geometric error) for evaluating the geometric accuracy of the three-dimensional printed parts with the diameter of holes. From the calculated response surface methodology, we conclude that the proposed methodology can be utilized as a process design guide to guarantee the quality of a part printed from the laser aided additive manufacturing process. The efficiency and limitations of the proposed methodology are verified by conducting a case study.

Predicting surface quality of γ-TiAl produced by additive manufacturing process using response surface method

2016 ◽  
Vol 30 (1) ◽  
pp. 345-352 ◽  
Author(s):  
Abdulrahman Al-Ahmari ◽  
Mohammad Ashfaq ◽  
Abdullah Alfaify ◽  
Basem Abdo ◽  
Abdulrahman Alomar ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Response Surface ◽  
Surface Quality ◽  
Response Surface Method ◽  
Manufacturing Process ◽  
Surface Method

Evaluation of Parts Produced by a Novel Additive Manufacturing Process

2013 ◽  
Vol 315 ◽  
pp. 63-67 ◽  
Author(s):  
Muhammad Fahad ◽  
Neil Hopkinson
Keyword(s):  
Additive Manufacturing ◽  
Rapid Prototyping ◽  
Manufacturing Process ◽  
High Speed ◽  
Three Dimensional ◽  
Coordinate Measuring Machine ◽  
Layer By Layer ◽  
Nylon 12 ◽  
Measuring Machine ◽  
End Use

Rapid prototyping refers to building three dimensional parts in a tool-less, layer by layer manner using the CAD geometry of the part. Additive Manufacturing (AM) is the name given to the application of rapid prototyping technologies to produce functional, end use items. Since AM is relatively new area of manufacturing processes, various processes are being developed and analyzed for their performance (mainly speed and accuracy). This paper deals with the design of a new benchmark part to analyze the flatness of parts produced on High Speed Sintering (HSS) which is a novel Additive Manufacturing process and is currently being developed at Loughborough University. The designed benchmark part comprised of various features such as cubes, holes, cylinders, spheres and cones on a flat base and the build material used for these parts was nylon 12 powder. Flatness and curvature of the base of these parts were measured using a coordinate measuring machine (CMM) and the results are discussed in relation to the operating parameters of the process.The result show changes in the flatness of part with the depth of part in the bed which is attributed to the thermal gradient within the build envelope during build.

Optimization of Manufacturing Process of Traditional Algerian Jben Cheese Using Response Surface Methodology (RSM)

2018 ◽  
Vol 8 (1) ◽  
pp. 31-42
Author(s):  
M. Amimour ◽  
T. Idoui ◽  
A. Cheriguene
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Manufacturing Process ◽  
Milk Powder ◽  
Statistical Design ◽  
Polynomial Equation ◽  
Enzymatic Extract ◽  
Traditional Cheese ◽  
Order Polynomial ◽  
Predicted Values

The Aim of this study was to develop an optimized method for manufacturing process of traditional Algerian Jben cheese, using response surface methodology (RSM). In order to develop the objective method of making this traditional cheese, several factors have been studied and a Plackett-Burman statistical design was applied. The effects of the four screened factors (enrichment with milk powder, 10 - 20 g/l; pH of milk, 5.75 - 6.75, enzymatic extract dose, 0.5 - 1.5 ml and coagulation temperature 40 - 60 °C) on the response were investigated, using a Box-Behnken statistical design. Multiple regression analysis was used so that experimental data fits to a second-order polynomial equation. This multiple analysis showed that the model explains about 90.73% of the variation. Based on statistical results, it can be noticed that enrichment with milk powder and pH of milk (Ë‚0.0001***) were highly significant factor influincing cheese yield. The optimal production parame-ters that maximized cheese product (20 g/l enrichment with milk powder, 5.75 pH of milk, 1.29 ml enzymatic extract dose and 60°C coagulation temperature) and the maximal predicted cheese yield (52.68 % ) were found out through response surface methodology. Under these conditions, a verification experiment was carried out and cheese yield was found to be 49.46 %. The overall percentage of agreement for the experimental results (more than 93 % validity) with the predicted values indicates the validation of the statistical model and the success of the optimization process.

A Review of Bone Graft Substitutes Made From HA-Polymer Composite Scaffolds and Fabrication Potential With Laser-Based Additive Manufacturing Processes

2015 ◽  
Author(s):  
Hera Wu ◽  
Shuting Lei
Keyword(s):  
Additive Manufacturing ◽  
Bone Graft ◽  
Three Dimensional ◽  
Bone Graft Substitute ◽  
Biological Properties ◽  
Porous Scaffolds ◽  
Composite Scaffolds ◽  
Bone Graft Substitutes ◽  
Manufacturing Technologies ◽  
High Level

Hydroxyapatite, a bioactive ceramic, has been combined with biodegradable polymers to create composite three-dimensional interconnected porous scaffolds for bone graft substitutes. The materials and fabrication methods of these composite scaffolds are reviewed. The resulting mechanical and biological properties of scaffolds produced from the combination of certain materials and fabrication methods are analyzed. Requirements for a bone graft substitute and third generation scaffolds with the addition of osteoinductive and osteogenic features to composite scaffolds including biomolecule delivery and cell seeding are also introduced. Finally, the benefits of using additive manufacturing technologies to enable high level of control over the design of interconnected pore structure are discussed.

Laser Additive Manufacturing

3D Printing ◽  
2017 ◽  
pp. 154-171 ◽  
Author(s):  
Rasheedat M. Mahamood ◽  
Esther T. Akinlabi
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Process ◽  
Computer Aided Design ◽  
Selective Laser Sintering ◽  
Three Dimensional ◽  
Cad Model ◽  
Laser Additive Manufacturing ◽  
Computer Aided ◽  
Manufacturing Technologies ◽  
Aided Design

Laser additive manufacturing is an advanced manufacturing process for making prototypes as well as functional parts directly from the three dimensional (3D) Computer-Aided Design (CAD) model of the part and the parts are built up adding materials layer after layer, until the part is competed. Of all the additive manufacturing process, laser additive manufacturing is more favoured because of the advantages that laser offers. Laser is characterized by collimated linear beam that can be accurately controlled. This chapter brings to light, the various laser additive manufacturing technologies such as: - selective laser sintering and melting, stereolithography and laser metal deposition. Each of these laser additive manufacturing technologies are described with their merits and demerits as well as their areas of applications. Properties of some of the parts produced through these processes are also reviewed in this chapter.

A Survey of Object-Oriented Design Quality Improvement

2009 ◽  
pp. 2646-2664
Author(s):  
Juan José Olmedilla
Keyword(s):  
Quality Improvement ◽  
Evaluation Model ◽  
Object Oriented ◽  
Measurement Model ◽  
Design Quality ◽  
Quality Properties ◽  
Object Oriented Design ◽  
Design Improvement ◽  
High Level

The use of object-oriented (OO) architecture knowledge such as patterns, heuristics, principles, refactorings and bad smells improve the quality of designs, as Garzás and Piattini (2005) state in their study; according to it, the application of those elements impact on the quality of an OO design and can serve as basis to establish some kind of software design improvement (SDI) method. But how can we measure the level of improvement? Is there a set of accepted internal attributes to measure the quality of a design? Furthermore, if such a set exists will it be possible to use a measurement model to guide the SDI in the same way software processimprovement models (Humphrey, 1989; Paulk, Curtis, Chrissis, & Weber, 1993) are guided by process metrics (Fenton & Pfleeger, 1998)? Since (Chidamber & Kemerer, 1991) several OO metrics suites have been proposed to measure OO properties, such as encapsulation, cohesion, coupling and abstraction, both in designs and in code, in this chapter we review the literature to find out to which high level quality properties are mapped and if an OO design evaluation model has been formally proposed or even is possible.

Medical and Biomedical Devices for Clinical Use

2011 ◽  
pp. 339-345
Author(s):  
Evangelos K. Doumouchtsis
Keyword(s):  
Medical Technology ◽  
Three Dimensional ◽  
Medical Industry ◽  
Clinical Use ◽  
Future Trends ◽  
Biomedical Devices ◽  
Constant Flow ◽  
High Level ◽  
Improving Health Care

Medical technology has been rapidly growing over the last decades. It is characterized by a constant flow of innovations and a high level of research and development. Many medical and biomedical devices have changed dramatically the way that medicine diagnoses and treats human disease, such as getting three-dimensional images of the internal human body. This chapter describes medical and biomedical devices, the regulatory framework about them, as well as the most active areas of research of medical technology. It also discusses the future trends of the medical industry and biosciences that constantly provide new possibilities of improving health care and patient quality of life.

X-ray radiolysis-based three dimensional additive manufacturing process

2019 ◽  
Author(s):  
S. Saegusa ◽  
I. Sakurai ◽  
I. Okada ◽  
T. Fukuoka ◽  
S. Suzuki ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Process ◽  
Three Dimensional ◽  
X Ray

An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Xingzhi Hu ◽  
Yanhui Duan ◽  
Ruili Wang ◽  
Xiao Liang ◽  
Jiangtao Chen
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Estimation Error ◽  
Three Dimensional ◽  
Nonlinear Function ◽  
Response Analysis ◽  
Dynamic Correlation ◽  
Interval Uncertainties ◽  
Speed Reducer ◽  
Active Subspaces

Abstract The popular use of response surface methodology (RSM) accelerates the solutions of parameter identification and response analysis issues. However, accurate RSM models subject to aleatory and epistemic uncertainties are still challenging to construct, especially for multidimensional inputs, which is widely existed in real-world problems. In this study, an adaptive interval response surface methodology (AIRSM) based on extended active subspaces is proposed for mixed random and interval uncertainties. Based on the idea of subspace dimension reduction, extended active subspaces are given for mixed uncertainties, and interval active variable representation is derived for the construction of AIRSM. A weighted response surface strategy is introduced and tested for predicting the accurate boundary. Moreover, an interval dynamic correlation index is defined, and significance check and cross validation are reformulated in active subspaces to evaluate the AIRSM. The effectiveness of AIRSM is demonstrated on two test examples: three-dimensional nonlinear function and speed reducer design. They both possess a dominant one-dimensional active subspace with small estimation error, and the accuracy of AIRSM is verified by comparing with full-dimensional Monte Carlo simulates, thus providing a potential template for tackling high-dimensional problems involving mixed aleatory and interval uncertainties.

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