A new mixed production cost allocation model for additive manufacturing (MiProCAMAM)

Fera, Marcello; Fruggiero, Fabio; Costabile, G.; Lambiase, Alfredo; Pham, Duc Truong

doi:10.1007/s00170-017-0492-x

Cited by 44 publications

(29 citation statements)

References 46 publications

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“…The reduced building time further results in manufacturing cost reduction without compromising on the product quality with respect to residual stresses, porosity, and distortion. Shifting from 30-µm to 45-µm layer thickness reduces the number of slices by 33.3%, and a corresponding reduction in production time can be estimated in line with the production time and cost models found in Rickenbacher et al [44], Schröder et al [45], and Fera et al [46].…”

Section: Summary Of Influence Of Layer Thickness On Process Outcomessupporting

confidence: 76%

Effect of Process Parameters on Residual Stresses, Distortions, and Porosity in Selective Laser Melting of Maraging Steel 300

Mugwagwa

Yadroitsev

Matope

2019

Metals

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Selective laser melting (SLM) is one of the most well-known additive manufacturing methods available for the fabrication of functional parts from metal powders. Although SLM is now an established metal additive manufacturing technique, its widespread application in industry is still hindered by inherent phenomena, one of which is high residual stresses. Some of the effects of residual stresses – such as warping and thermal stress-related cracking – cannot be corrected by post processing. Therefore, establishing input process parameter combinations that result in the least residual stress magnitudes and related distortions and/or cracking is critical. This paper presents the influence of laser power, scanning speed, and layer thickness on residual stresses, distortions and achievable density for maraging steel 300 steel parts in order to establish the most optimum input parameter combinations. An analysis of the interdependence between process outcomes shows that high residual stress magnitudes lead to high dimensional distortions in the finished parts, whilst porous parts suffer relatively lower residual stresses and associated distortions.

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Section: Summary Of Influence Of Layer Thickness On Process Outcomessupporting

confidence: 76%

Effect of Process Parameters on Residual Stresses, Distortions, and Porosity in Selective Laser Melting of Maraging Steel 300

Mugwagwa

Yadroitsev

Matope

2019

Metals

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“…The present model is summarized and reported by another paper of the authors appeared on 2017 [35][36][37].…”

Section: The Production Cost Modelmentioning

confidence: 87%

Production Management Fundamentals for Additive Manufacturing

Fera¹,

Macchiaroli²,

Fruggiero³

et al. 2018

3D Printing

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The additive manufacturing (AM) is a new way to produce parts, which in the last years had a significant application in the traditional production environment, since it demonstrated its capability to produce parts without particular defects and with good mechanical properties. During the last two decades the AM was firstly used to produce polymers' products and after metals' products; this evolution made possible the breakthrough in the traditional industrial sectors such as the aerospace, the mechanical, and other related sectors. Nevertheless, the introduction of this technology in this context put on the table of the researchers and practitioners some questions about the management of this technology in a more complex context, characterized by the integration with other machines. Aim of this chapter is to present a literature review of the principal facets of the AM related to the field of operations management and trying to define a model to account the costs of production and to schedule the machine activity.

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“…The research and development of the key technology of 3D printing cloud manufacturing platforms was summarized by Guo and Qiu [16], and the development of the combination of 3D printing and cloud manufacturing was proposed. In recent years, even more research is focusing on the practical problems related to production with AM technologies [10,[19][20][21][22][23].…”

Section: Related Workmentioning

confidence: 99%

A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production

Qiang

Zhang

Wang

et al. 2019

Int J Adv Manuf Technol

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Additive manufacturing (AM), also known as 3D printing, has been called a disruptive technology as it enables the direct production of physical objects from digital designs and allows private and industrial users to design and produce their own goods enhancing the idea of the rise of the "prosumer". It has been predicted that, by 2030, a significant number of small and medium enterprises will share industry-specific AM production resources to achieve higher machine utilization. The decision-making on the order acceptance and scheduling (OAS) in AM production, particularly with powder bed fusion (PBF) systems, will play a crucial role in dealing with on-demand production orders. This paper introduces the dynamic OAS problem in on-demand production with PBF systems and aims to provide an approach for manufacturers to make decisions simultaneously on the acceptance and scheduling of dynamic incoming orders to maximize the average profit-per-unit-time during the whole makespan. This problem is strongly NP hard and extremely complicated where multiple interactional subproblems, including bin packing, batch processing, dynamic scheduling, and decision-making, need to be taken into account simultaneously. Therefore, a strategy-based metaheuristic decisionmaking approach is proposed to solve the problem and the performance of different strategy sets is investigated through a comprehensive experimental study. The experimental results indicated that it is practicable to obtain promising profitability with the proposed metaheuristic approach by applying a properly designed decision-making strategy.

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A new mixed production cost allocation model for additive manufacturing (MiProCAMAM)

Cited by 44 publications

References 46 publications

Effect of Process Parameters on Residual Stresses, Distortions, and Porosity in Selective Laser Melting of Maraging Steel 300

Effect of Process Parameters on Residual Stresses, Distortions, and Porosity in Selective Laser Melting of Maraging Steel 300

Production Management Fundamentals for Additive Manufacturing

A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production

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