Multi-objective optimization for part quality in stereolithography

Roysarkar, K.P.; Banerjee, P. S.; Sinha, Anupam; Banerjee, Madhumita

doi:10.1109/iccie.2009.5223746

Cited by 4 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To improve the mechanical properties of the parts, many researchers have investigated different aspects of SLA technique, recently. For example, Roysarkar et al (2009) carried out a multi-objective optimization to improve the part quality in SLA process. Zhou et al (2000) carried out a parametric process optimization to improve the accuracy of rapid prototyped SLA parts.…”

Section: Introductionmentioning

confidence: 99%

Stereolithography process optimization for tensile strength improvement of products

Kazemi

Rahimi

2018

RPJ

View full text Add to dashboard Cite

Purpose Stereolithography (SLA) is a broadly used technology in the field of rapid prototyping. One of the disadvantages of SLA is poor mechanical properties of its products. To approach the mechanical properties of original part, the mechanical properties of SLA part, such as tensile strength, should be optimized. In this process, there are many parameters that affect the tensile strength of parts. However, the “layer thickness”, “fabrication orientation” and “post curing time” are the most significant ones. Hence, the purpose of this study is to investigate the influence of these parameters on tensile strength of SLA parts. Design/methodology/approach According to the obtained results from experiments based on the “full factorial” method, an empirical equation was developed for the tensile strength in terms of the effective parameters by using regression analysis. Considering this empirical equation, the process parameters were optimized to maximize the tensile strength by using genetic algorithm. Finally, the tensile tests of the specimens were simulated via the general-purpose finite element package of ABAQUS. Findings The outputs of the numerical simulations were in good agreement with experimental results. Both experimental and numerical results show that the increase of layer thickness and the decrease in post curing time increase the tensile strength. Furthermore, the tensile strength of parts produced in vertical orientation is higher than that of parts produced in horizontal orientation. Originality/value This is a complete study about the tensile strength of the SLA parts from experimental and analytical viewpoints.

show abstract

Section: Introductionmentioning

confidence: 99%

Stereolithography process optimization for tensile strength improvement of products

Kazemi

Rahimi

2018

RPJ

View full text Add to dashboard Cite

show abstract

“…Some of these include warpage, the presence of unreacted and potentially extractable monomers, and unknown green strengths of stereolithography parts. The final part strength is known to vary when using different operating conditions including layer thickness , over‐cure depth , light intensity , scanning velocity , and post curing time . The effects of these strength variations were found through extensive testing of materials without any modeling or in situ material analysis.…”

Section: Introductionmentioning

confidence: 99%

Degree of cure of epoxy/acrylic photopolymers: Characterization with raman spectroscopy and a modified phenomenological model

Martin

Puentes

Wruck

et al. 2017

Polymer Engineering & Sci

View full text Add to dashboard Cite

This study characterizes the degree of cure c, of a two‐part epoxy/acrylic photopolymer used in stereolithography, SLA. The use of solid free form fabrication has added a whole new list of thermosets with a chemical reaction—curing reaction—targeted for these specific manufacturing processes. The studied thermosetting system exhibits a fast curing reaction triggered by a UV‐light source. An innovative stepwise method to quantify the degree of cure using Raman spectroscopy is reported. This method abates the Raman noise and compensates for the weak signal of fast measurements. The Raman data processing algorithm BEADS was implemented. The technique presented here was capable of following the degree of cure of the individual components of the photopolymer. Based on the epoxy/acrylic monomers concentration (75%/25%), the degree of cure for the whole system was quantified. The experimental results were modeled using a modified phenomenological kinetics equation. This model includes the dependency of the rate of cure on the light intensity, and cure state. Based on the analysis reported here, the proposed model accurately fits the initiation, propagation, and termination phases of the cure cycle. The technique and methods presented here can potentially be integrated to in situ process monitoring with instant parameter feedback, and numerical modeling of residual stresses in additive manufacturing of thermosets. POLYM. ENG. SCI., 58:228–237, 2018. © 2017 Society of Plastics Engineers

show abstract

“…Griffiths et al [226] investigated a DoE method for the optimization of FDM-built components for SEC, processing time, the weight of the part, and waste. A MO optimization method for part quality in SLA was presented by Roysarkar et al [227] and optimized the processing time, dimensional, and surface quality by considering the controlling process parameters. Another MO optimization scheme was studied for FDM components by Gurrala, Regalla [228] and optimized volumetric shrinkage and strength considering various controlling parameters by using the NSGA-II, and a relationship between objectives and input process parameters was developed by performing minimum experimentation.…”

Section: Multi-objective Optimization For Ammentioning

confidence: 99%

A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes

Majeed

Ahmed

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

This paper aims to study the energy consumption and quality characteristics of the parts fabricated by additive manufacturing (AM) technologies with a special focus on metal AM processes. AM is a family of manufacturing techniques, which is broadly used to fabricate complex and lightweight structures. The energy savings during AM processes have a significant influence on the AM industry, only if the quality of the fabricated part meets the requirements. The quality is generally represented by the surface and dimensional quality, mechanical properties, relative density, hardness, etc. The energy saving is important for environmentally benign and cleaner production, and improved product quality is useful for its application as a functional part in the aerospace, automobile, and biomedical industries. A comprehensive review of the energy consumption and quality characteristics of AM-fabricated (with special focus on metal AM) parts was carried out. Firstly, the specific energy consumption of various AM techniques has been reviewed to address the importance of energy and cleaner production. Then, the qualifications of products fabricated by different metal AM techniques have been discussed for different materials, such as titanium alloys, steel alloys, nickel alloys, and aluminum alloys. Also, by considering the practical importance of thin-walled structures fabricated by AM, a detailed analysis of their qualification has been presented. Moreover, different optimization techniques have also been reviewed for various AM process parameters and objectives. Overall, this paper provides an overview of AM, including a survey on the energy consumption and quality characteristics with the development of AM technologies for manufacturing of quality products. Finally, several future research directions are suggested, specifically the need for a framework for metal AM processes for the fabrication of quality products with minimum energy consumption.

show abstract

Multi-objective optimization for part quality in stereolithography

Cited by 4 publications

References 10 publications

Stereolithography process optimization for tensile strength improvement of products

Stereolithography process optimization for tensile strength improvement of products

Degree of cure of epoxy/acrylic photopolymers: Characterization with raman spectroscopy and a modified phenomenological model

A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes

Contact Info

Product

Resources

About