FAILURE MODE AND EFFECT ANALYSIS (FMEA) FOR DIY 3D PRINTER

Abstract

Failure Mode and Effects Analysis (FMEA) is a widely used tool for identifying potential failure modes in a system, evaluating their effects, and implementing measures to mitigate or eliminate them. In the case of a DIY 3D printer, FMEA can be used to identify potential failure modes that could lead to sub-optimal performance or even complete system failure. The FMEA process involves identifying potential failure modes, determining their severity, likelihood of occurrence, and detectability, and then prioritizing them based on their risk priority number (RPN). This process can be used to identify potential failure modes in various aspects of the 3D printer system, including mechanical components, electrical components, electronics components, and software. 3D printing is a rapidly evolving field. Particularly in the industrial sector, this technology is expanding quickly. Even in the maritime sector, the use of 3D printers in replacing several main machinery parts is now seeking demand. Some successfully printed parts such as nozzles and valves are now being recognized by the Classification Society. There is no denying that using this technology in the industry has both benefits and drawbacks. Yet as time passes, this technology's deficiencies continue to be corrected and it keeps growing. Understanding modern technologies like 3D printing is therefore highly beneficial. Knowing how well the printer is in excellent condition and locating the printer issue that will result in the machine being underpowered are some aims of the risk assessment. A risk analysis of printer failure is essential to prevent failure while running the printer. The printer's durability will occasionally decrease, and it is simple to destroy the internal components by pushing them to perform harder than they can. Understanding the state of this printer is the primary goal of risk assessment or risk failure analysis. Hence, in this project, the DIY 3D printer failure risk assessment is conducted using FMEA.