DMLS gets an expert once-over

Petzoldt, F.; Pohl, H.; Simchi, A.; Alcantara, B

doi:10.1016/s0026-0657(09)70113-4

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…Dimensional accuracy, resolution and surface roughness, are highly interdependent in AM technologies and serve as the bases of precision. Prior research on AM concludes decreasing layer thickness gives results with better dimensional accuracy [14]. Moreover, dimensional accuracy levels vary across rapid manufacturing technologies and are directly influenced by process parameters other than layer thickness [15] [16] The reported resolution of the machines varies by completeness.…”

Section: Quality Results and Descriptionmentioning

confidence: 99%

Precision and Energy Usage for Additive Manufacturing

Clemon

Sudradjat

Jaquez

et al. 2013

Volume 2A: Advanced Manufacturing

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Market pressures on manufacturing enterprises incentivize minimum resource consumption while maintaining part quality. Facilities with advanced manufacturing tools often utilize rapid prototyping for production of complicated or specialty parts. Additive manufacturing offers an alternative to traditional production methods which are often time and resource expensive. This study aims to explore part quality and energy usage for additive manufacturing through a focused study of Fused Deposition Modeling and Photopolymer Jetting technologies. A control part is developed for maintaining test consistency across different machines. The control part design consists of various positive and negative features including width varied slots and walls, ramps, and curved features so that the manufacturing of different surfaces may be investigated. Several different machine models are tested to evaluate precision for a variety of applications. Part quality is quantified by measuring the surface roughness in two directions for the control test part printed on each machine. Qualitatively, part quality is assessed by positive and negative feature resolution. High quality machines resolve features closely to design specifications. Lower quality machines do not resolve some features. In addition to exploring the effects of advertised print precision, layup density is varied on two machines. Advertised print resolution does not well represent the achievable feature sizes found in this study. Energy usage is quantified by measuring electricity demands while printing the control part on each of the five different machines. Power consumption in additive manufacturing is found to follow a distinct pattern comprised of standby, warm up, printing and idle phases. Measurement and analysis suggest a relationship between the precision of these machines and their respective energy demand. Part quality is found to generally improve with increased initial and process resource investment. The energy and quality assessment methods developed in this study are applicable to a greater variety of additive manufacturing technologies and will assist designers as additive manufacturing becomes more production friendly. The presented data also provides designers and production planners insight for improvements in the process decision making.

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Section: Quality Results and Descriptionmentioning

confidence: 99%

Precision and Energy Usage for Additive Manufacturing

Clemon

Sudradjat

Jaquez

et al. 2013

Volume 2A: Advanced Manufacturing

View full text Add to dashboard Cite

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Section: Methodsmentioning

confidence: 99%

“…The enhancement of the energy density up to an optimal value changes the viscosity and surface tension of the melted material that finally results in a part with lower surface roughness. [32] The experimental study is designed using a "full factorial design" approach based on three main operational parameters including laser power, scan speed, and layer reference (LR). Table 2 shows a different combination of operational parameters with energy density from 0.0385 to 0.25.…”

Section: Design Of Experimentsmentioning

confidence: 99%

An Experimental Study of Downfacing Surfaces in Selective Laser Melting

et al. 2022

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This article presents an investigative study to evaluate the effect of process parameters on surface roughness and dimensional accuracy of downfacing surfaces. The material used in the study is Corrax steel and is fabricated using selective laser melting (SLM) technology. The fabrication process of the downfacing surface is different from the fabrication of the main or core region due to the poor thermal conductivity of loose powder particles beneath each layer. The processing parameters, namely, laser scanning speed, laser power, and layer reference, are investigated using a full factorial design of experiments method to discover their influence on surface roughness and dimensional deviation. Results show that the investigated factors are significantly affecting the quality of downfacing surfaces and controlling them will greatly influence achieving required surface properties.

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“…DMLS technology is a direct additive manufacturing technology in which the surface of the metal powder is melted with a laser beam. DMLS is a continuously developing technology, and much research focuses on developing the technology [2][3][4][5] and materials [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Injection Molding Simulation of Advanced Injection Molds

et al. 2017

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Abstract:The most time-consuming phase of the injection molding cycle is cooling. Cooling efficiency can be enhanced with the application of conformal cooling systems or high thermal conductivity copper molds. The conformal cooling channels are placed along the geometry of the injection-molded product, and thus they can extract more heat and heat removal is more uniform than in the case of conventional cooling systems. In the case of copper mold inserts, cooling channels are made by drilling and heat removal is facilitated by the high thermal conductivity coefficient of copper, which is several times that of steel. Designing optimal cooling systems is a complex process; a proper design requires injection molding simulations, but the accuracy of calculations depends on how precise the input parameters and boundary conditions are. In this study, three cooling circuit designs and three mold materials (Ampcoloy 940, 1.2311 (P20) steel, and MS1 steel) were used and compared using numerical methods. The effect of different mold designs and materials on cooling efficiency were examined using calculated and measured results. The simulation model was adjusted to the measurement results by considering the joint gap between the mold inserts.

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DMLS gets an expert once-over

Cited by 3 publications

References 3 publications

Precision and Energy Usage for Additive Manufacturing

Precision and Energy Usage for Additive Manufacturing

An Experimental Study of Downfacing Surfaces in Selective Laser Melting

Enhanced Injection Molding Simulation of Advanced Injection Molds

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