Javascript must be enabled to continue!
CHALLENGES OF ADDITIVE MANUFACTURING IN MACHINE ELEMENT APPLICATIONS
View through CrossRef
Additive manufacturing, also known as 3D printing, has become increasingly relevant in science as well as industrial applications, thanks to its ability to produce complex geometries that are difficult to achieve with conventional methods. Sliding bearings are essential machine parts, characterized by great reliability, constant performance, and minimal noise. In machine systems, sliding bearings allow shaft rotation with minimal friction and heat dissipation. The use of additive technologies to make machine parts, especially sliding bearings, allows for on-demand manufacturing without large series or expensive tools and the use of a variety of materials, from engineering polymers to metals. Industries that need customized solutions benefit from mass personalization and customized production enabled by these technologies. Additive manufacturing contributes to environmentally friendly production by reducing material waste, lowering energy consumption, and minimizing the carbon footprint, thus supporting strategies of circular economy. One of the disadvantages of additive technologies is the higher price per unit of the product compared to conventional methods, as well as the longer time for manufacturing the part. In addition, parts made with additive technologies often require additional machining using traditional methods, such as turning or grinding, in order to achieve the appropriate finish and surface quality. The need to evaluate tribological properties, primarily the coefficient of friction and wear of additively produced parts, arose from the increasing application of additive technologies in the production of sliding bearings. The aim of this paper is to provide an overview of additive manufacturing technologies that can be applied to the production of machine elements, with special reference to sliding bearings, as well as to analyse the tested tribological properties of the relevant materials.
Faculty of Engineering, Kragujevac
Title: CHALLENGES OF ADDITIVE MANUFACTURING IN MACHINE ELEMENT APPLICATIONS
Description:
Additive manufacturing, also known as 3D printing, has become increasingly relevant in science as well as industrial applications, thanks to its ability to produce complex geometries that are difficult to achieve with conventional methods.
Sliding bearings are essential machine parts, characterized by great reliability, constant performance, and minimal noise.
In machine systems, sliding bearings allow shaft rotation with minimal friction and heat dissipation.
The use of additive technologies to make machine parts, especially sliding bearings, allows for on-demand manufacturing without large series or expensive tools and the use of a variety of materials, from engineering polymers to metals.
Industries that need customized solutions benefit from mass personalization and customized production enabled by these technologies.
Additive manufacturing contributes to environmentally friendly production by reducing material waste, lowering energy consumption, and minimizing the carbon footprint, thus supporting strategies of circular economy.
One of the disadvantages of additive technologies is the higher price per unit of the product compared to conventional methods, as well as the longer time for manufacturing the part.
In addition, parts made with additive technologies often require additional machining using traditional methods, such as turning or grinding, in order to achieve the appropriate finish and surface quality.
The need to evaluate tribological properties, primarily the coefficient of friction and wear of additively produced parts, arose from the increasing application of additive technologies in the production of sliding bearings.
The aim of this paper is to provide an overview of additive manufacturing technologies that can be applied to the production of machine elements, with special reference to sliding bearings, as well as to analyse the tested tribological properties of the relevant materials.
Related Results
Unveiling the Environmental and Economic Implications of Additive Manufacturing on Inbound Transportation
Unveiling the Environmental and Economic Implications of Additive Manufacturing on Inbound Transportation
This studyaims to investigate the impact of additive manufacturing (AM) on the sustainability of inbound transportation. By combining insights from existing litera...
A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems
A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems
Abstract
Recent technological innovations in the areas of additive manufacturing and collaborative robotics have paved the way toward realizing the concept of on-dem...
A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management
A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management
Industry 5.0 is an emerging value-driven manufacturing model in which human–machine interface-oriented intelligent manufacturing is one of the core concepts. Based on the theoretic...
Measure Additive Manufacturing for Sustainable Manufacturing
Measure Additive Manufacturing for Sustainable Manufacturing
Additive manufacturing technologies are still brand new in industrial production. Although It has widely been used in prototypes development, either low or very low scale productio...
Smart Manufacturing Application in Precision Manufacturing
Smart Manufacturing Application in Precision Manufacturing
Industry 4.0 presents an opportunity to gain a competitive advantage through productivity, flexibility, and speed. It also empowers the manufacturing sector to drive the sustainabi...
An autonomous framework for interpretation of 3D objects geometric data using 2D images for application in additive manufacturing
An autonomous framework for interpretation of 3D objects geometric data using 2D images for application in additive manufacturing
Additive manufacturing, artificial intelligence and cloud manufacturing are three pillars of the emerging digitized industrial revolution, considered in industry 4.0. The literatur...
The interaction between neural populations: Additive versus diffusive coupling
The interaction between neural populations: Additive versus diffusive coupling
AbstractModels of networks of populations of neurons commonly assume that the interactions between neural populations are via additive or diffusive coupling. When using the additiv...
A Review of the Design and Implementation of Digital Twins for Smart Manufacturing
A Review of the Design and Implementation of Digital Twins for Smart Manufacturing
Abstract
The current massive use of machine learning and the 5G networks have supported the high demand for the digital twin and made it more popular and common in t...

