2023
DOI: 10.3390/wevj14100289
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Knowledge Graph Learning for Vehicle Additive Manufacturing of Recycled Metal Powder

Yuan Fang,
Mingzhang Chen,
Weida Liang
et al.

Abstract: Research on manufacturing components for electric vehicles plays a vital role in their development. Furthermore, significant advancements in additive manufacturing processes have revolutionized the production of various parts. By establishing a system that enables the recovery, processing, and reuse of metal powders essential for additive manufacturing, we can achieve sustainable production of electric vehicles. This approach holds immense importance in terms of reducing manufacturing costs, expanding the mark… Show more

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Cited by 2 publications
(3 citation statements)
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“…If ρ 1 is 1, then ρ 0 , ρ 2 , ρ 3 in Function ( 22) are 0. Therefore, Function (19) shows that the company's total carbon emissions fall on (CEQ 0 , CEQ 1 ), and the cost of the carbon tax shows that the cost is TR 1 (ϕ 1 − CEQ 0 ). TRi is the carbon tax rate based on the carbon emissions falling on the i-th segment.…”
Section: Ceqmentioning
confidence: 99%
See 2 more Smart Citations
“…If ρ 1 is 1, then ρ 0 , ρ 2 , ρ 3 in Function ( 22) are 0. Therefore, Function (19) shows that the company's total carbon emissions fall on (CEQ 0 , CEQ 1 ), and the cost of the carbon tax shows that the cost is TR 1 (ϕ 1 − CEQ 0 ). TRi is the carbon tax rate based on the carbon emissions falling on the i-th segment.…”
Section: Ceqmentioning
confidence: 99%
“…If ρ is 1 then ρ , ρ , ρ in Function ( 22) are 0. Therefore, Function (19) shows that the company' total carbon emissions fall on (CEQ0, CEQ ), and the cost of the carbon tax shows that the cost is TR (φ − CEQ ). Models 1 and 3 only need to consider the cost of the carbon tax, so their carbon emis sions must not exceed the allowable upper limit set by the government, and this uppe limit can be expressed by Function (24).…”
Section: Ceqmentioning
confidence: 99%
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