Environmental impact assessment of an innovative strategy based on an additive and subtractive manufacturing combination

Le, Van Thao; Paris, Henri; Mandil, Guillaume

doi:10.1016/j.jclepro.2017.06.204

Cited by 64 publications

(20 citation statements)

References 35 publications

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“…Li et al 2015) or implementing smart manufacturing practices (Kusiak 2018) (see Table 5). In rare cases, experts focused on exploitation of BDA for other reasons, such as improving disassembly sequence planning (Marconi et al 2018), considering recycling issues during product design (Lin 2018), assessing cost (Angioletti, Despeisse, and Rocca 2017) x (Bassi 2017) x (Bloomfield and Borstrock 2018) x (Clemon and Zohdi 2018) x x (Dutta et al 2001) x (Giurco et al 2014) x (Lahrour and Brissaud 2018) x (Le, Paris, and Mandil 2017a) x (Le, Paris, and Mandil 2017b) x (Leino, Pekkarinen, and Soukka 2016) x (Ma et al 2018) x (Mandil et al 2016) x (Mattos Nascimento et al 2018) x (Millard et al 2018) x (Minetola and Eyers 2018) x x (Müller et al 2018) x (Santander et al 2018) x (Sauerwein, Bakker, and Balkenende 2017) x (Sauerwein and Doubrovski 2018) x (Schmidt et al 2017) x (Sheng Yang et al 2017) x (Syed-Khaja, Perez, and Franke 2016)…”

Section: Big Data and Analyticsmentioning

confidence: 99%

“…Simulation was the prevalent technique, followed by AM, BDA, and the IoT. From one perspective, simulation (in the form of blockchain) was exploited for (i) auditing cooperative CE networks (Alexandris et al 2018), (ii) assessing the impact of business model changes (Simons 2017), for example, through agent-based or multi-method approaches , and (iii) assessing redistributed manufacturing or service-based design (Panarotto, Wall, and Larsson 2017) (French, Benakis, and Marin-Reyes 2017) x (Ge and Jackson 2014) x (Karastoyanov and Karastanev 2018) x (Kuik, Kaihara, and Fujii 2016) x (Lahrour and Brissaud 2018) x (Le, Paris, and Mandil 2017a) x (Le, Paris, and Mandil 2017b) x (Leino, Pekkarinen, and Soukka 2016) x (Liu et al 2016) x (Ruggeri et al 2017) x (Shanshan Yang et al 2018) x (Siddiqi et al 2017) x (Stark et al 2014) x (Tolio et al 2017) x (X. V. x (B. Xu 2016)…”

Section: Circular Business Models and Smart Servicesmentioning

confidence: 99%

See 1 more Smart Citation

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Rosa

Sassanelli

Urbinati

et al. 2019

International Journal of Production Research

456

280

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Industry 4.0 (I4.0) and Circular Economy (CE) are undoubtedly two of the most debated topics of the last decades. Progressively, they gained the interest of policymakers, practitioners and scholars all over the world. Even if they have been usually described as two independent research fields, there are some examples presenting overlaps between these topics, represented by hybrid categories like Circular I4.0 and Digital CE. Starting from these two perspectives, an innovative framework both highlighting the links between I4.0 and CE and unveiling future research fields has been developed. Basing on one of the two perspectives, results show as it is possible to enhance a set of different relations. Depending on a dedicated area of either CE or I4.0 it is possible to see the prevalence of some I4.0 technology than others. However, the influence of I4.0 technologies on CE is always verified.

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Section: Big Data and Analyticsmentioning

confidence: 99%

Section: Circular Business Models and Smart Servicesmentioning

confidence: 99%

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Rosa

Sassanelli

Urbinati

et al. 2019

International Journal of Production Research

456

280

View full text Add to dashboard Cite

show abstract

“…In the current study, the second order regression equation was adopted to develop the predictive models of bead width, bead height, eq. 1: Y = b0+ b1I + b2U + b3v + b12IU + b13Iv + b23Uv + b11I 2 + b22U 2 + b33v 2 (1)…”

Section: Developing the Predictive Modelsmentioning

confidence: 99%

“…In comparison to traditional manufacturing processes (e.g. casting and machining), AM has the advantages of design freedom, reducing material wastes and environmental impacts [2,3]. AM technologies -particularly metallic AM, have been efficiently applied in different industrial sectors, for example aerospace, automotive, and biomedical engineering [1].…”

Section: Introductionmentioning

confidence: 99%

Prediction of welding bead geometry for wire arc additive manufacturing of SS308l walls using response surface methodology

Thao

Dinh

Khoa

et al. 2020

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In the wire arc additive manufacturing (WAAM) process, the geometry of single welding beads has significant effects on the stability process and the final quality and shape of manufactured parts. In this paper, the geometry of single welding beads of 308L stainless steel was predicted as functions of process parameters (i.e. welding current I, voltage U, and travel speed v) by using the response surface methodology (RSM). A set of experimental runs was carried out by using the Box-Behnken design method. The adequacy of the developed models was assessed by using an analysis of variance (ANOVA). The results indicate that the RSM allows the predictive models of bead width (BW) and bead height (BH) to be developed with a high accuracy: R2-values of BW and BH are 99.01% and 99.61%, respectively. The errors between the predicted and experimental values for the confirmatory experiments are also lower than 5% that again confirms the adequacy of the developed models. These developed models can efficiently be used to predict the desirable geometry of welding beads for the adaptive slicing principle in WAAM.

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“…Thanks to the layer-by-layer manufacturing principle, AM uses only an amount of materials required to build designed parts and support structures if necessary. Thus, the waste of materials and environmental impacts could be reduced [2,3]. AM also enables the topological optimization for saving raw materials [4].…”

Section: Introductionmentioning

confidence: 99%

A study on wire and arc additive manufacturing of low-carbon steel components: process stability, microstructural and mechanical properties

Hoang

2020

J Braz. Soc. Mech. Sci. Eng.

Self Cite

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Among metal-based additive manufacturing, wire and arc additive manufacturing is receiving increasing attention for the production of components with medium to large dimensions. In the current research, the production of low-carbon steel thin-walled components by wire and arc additive manufacturing was addressed. Firstly, the influence of two depositing direction strategies on the wall shape was investigated. Subsequently, the effect of heat input on the shape stability and the microstructure evolution of the walls was studied. The results indicated that the alternating depositing direction strategy was more suited to build thin walls with relatively regular height. The heat input significantly influenced the shape stability, but had slight effects on the microstructure evolution. The microstructure of the walls varied from the top to the bottom regions, leading to a variation in hardness from 157 ± 3.11 to 192 ± 4.30 (HV5). The microstructure of the built thin walls can be distinguished in three regions: The upper region exhibited lamellar structures; the middle region dominantly featured granular structures of ferrites with a small proportion of pearlites, which appear in the boundaries of grains; and the lower region showed a mix of lamellar and equiaxed structures of ferrites. The tensile properties of the built material also exhibited anisotropic characteristics: The yield strength and ultimate tensile strength vary from 320 ± 6 to 362 ± 8 MPa and from 429 ± 8 to 479 ± 7 MPa, respectively.

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Environmental impact assessment of an innovative strategy based on an additive and subtractive manufacturing combination

Cited by 64 publications

References 35 publications

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Prediction of welding bead geometry for wire arc additive manufacturing of SS308l walls using response surface methodology

A study on wire and arc additive manufacturing of low-carbon steel components: process stability, microstructural and mechanical properties

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