In the last period, the demand of prostheses has massively increased. To guarantee their reliability, properties of durability, biocompatibility, and osseointegration results to be mandatory. Possessing these attributes, Ti-6Al-4V alloy represents the most employed material for implants realization, and because of its microstructure, it can be manufactured by different processing methods, i.e., machining, and additive manufacturing. Considering the necessity of patient-tailored implants, and the capability of additive manufacturing to produce single batch, and complex shapes, at relatively low cost and short time, this latter represents a rewarding process. Compared to biocompatibility, that is mainly function of material chemistry, durability and osteointegration concern mostly surface roughness that affects cells growth at bone-prosthesis interface. After additive manufacturing process and prior to be inserted in the human body, a prosthetic implant is finished by machining operations, hence, the attainment of an appropriate resulting surface roughness is crucial for obtaining a successful implant. Thus, roughness forecasting capability, as a function of the employed finishing process, permits its optimization, avoiding expensive scraps. For this reason, this paper deals with the development of predictive models of surface roughness when micro-milling Ti-6Al-4V alloy specimens.

(2023). Analysis of Ti-6Al-4V micro-milling resulting surface roughness for osteointegration enhancement . Retrieved from https://hdl.handle.net/10446/249230

Analysis of Ti-6Al-4V micro-milling resulting surface roughness for osteointegration enhancement

Cappellini, Cristian;
2023-01-01

Abstract

In the last period, the demand of prostheses has massively increased. To guarantee their reliability, properties of durability, biocompatibility, and osseointegration results to be mandatory. Possessing these attributes, Ti-6Al-4V alloy represents the most employed material for implants realization, and because of its microstructure, it can be manufactured by different processing methods, i.e., machining, and additive manufacturing. Considering the necessity of patient-tailored implants, and the capability of additive manufacturing to produce single batch, and complex shapes, at relatively low cost and short time, this latter represents a rewarding process. Compared to biocompatibility, that is mainly function of material chemistry, durability and osteointegration concern mostly surface roughness that affects cells growth at bone-prosthesis interface. After additive manufacturing process and prior to be inserted in the human body, a prosthetic implant is finished by machining operations, hence, the attainment of an appropriate resulting surface roughness is crucial for obtaining a successful implant. Thus, roughness forecasting capability, as a function of the employed finishing process, permits its optimization, avoiding expensive scraps. For this reason, this paper deals with the development of predictive models of surface roughness when micro-milling Ti-6Al-4V alloy specimens.
2023
Inglese
Material Forming – ESAFORM 2023
Madej, Lukasz; Sitko, Mateusz; Perzynski, Konrad
9781644902479
28
1255
1264
cartaceo
online
United States
Millersville PA
Materials Research Forum LLC.
ESAFORM 2023: 26th International ESAFORM Conference on Material Forming, Krakòw (PL), April 19-21, 2023
26th
Krakòw (PL)
April 19-21, 2023
internazionale
contributo
Settore ING-IND/16 - Tecnologie e Sistemi di Lavorazione
Additive Manufacturing; Micro-Milling; Osseointegration; Roughness; Ti-6Al-4V
indice consultabile alla pagina degli atti
info:eu-repo/semantics/conferenceObject
4
Cappellini, Cristian; Malandruccolo, Alessio; Kiem, Sonja; Abeni, Andrea
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
open
Non definito
273
(2023). Analysis of Ti-6Al-4V micro-milling resulting surface roughness for osteointegration enhancement . Retrieved from https://hdl.handle.net/10446/249230
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/249230
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