REGISTRO DOI: 10.69849/revistaft/ch10202511230812
Josimar Santos Viana
Abstract
Failure analysis is a fundamental practice in engineering, aimed at enhancing the reliability and safety of critical mechanical components. This article presents an overview of methodologies applied in failure analysis, with special attention to techniques such as Failure Mode and Effect Analysis (FMEA) and Root Cause Analysis (RCA). The process encompasses data collection, visual and non-destructive examinations, and material characterization to identify both immediate and root causes of failures. Practical case studies show how these approaches—applied in industries ranging from manufacturing to oil and gas—lead to improved designs, process controls, and preventive maintenance strategies. The findings highlight the role of systematic analysis and multidisciplinary integration in reducing recurrence of failures, optimizing component life, and creating a culture of continuous improvement in engineering environments.
Keywords: Failure Analysis; Mechanical Components; Reliability.
Failure analysis of critical mechanical components is essential for ensuring the longevity and reliability of complex systems. The process involves the systematic investigation of failed parts to determine the mechanisms and root causes, while providing insights for improvements in design, manufacturing, and maintenance. According to Gouveia et al. (2017), mechanical failure can originate from material defects, inadequate design, manufacturing errors, improper maintenance, or unexpected operational stresses, all of which must be considered in a thorough analysis.
Methodologies such as Failure Mode and Effect Analysis (FMEA) are fundamental in identifying potential failure points during the design phase, assessing their impact and probability, and prioritizing preventive actions (Silva et al., 2018). This contributes to reducing risk and increasing reliability even before the component enters service. After a failure has occurred, Root Cause Analysis (RCA) is used to trace the sequence of events that led to the breakdown, applying techniques like fault tree analysis and Pareto charts to distinguish immediate triggers from underlying causes (Gouveia et al., 2017).
Material testing and characterization underpin the technical investigation. Carneiro et al. (2016) highlight the role of fractography, metallographic exams, and non-destructive tests (NDTs) such as ultrasonic or radiographic analysis in revealing both surface and subsurface defects. These procedures often identify fatigue, corrosion, wear, and brittle rupture as dominant failure mechanisms in critical components like shafts, bearings, and turbine blades.
Case studies illustrate the practical application of these methods. Carneiro et al. (2016) analyzed repeated fractures in extruder shafts, revealing torsional fatigue exacerbated by inadequate heat treatment and weld quality. Design revision and process control recommendations followed, successfully preventing recurrence. In the oil and gas industry, Gouveia et al. (2017) investigated seal failures in centrifugal pumps, determining that improper material selection combined with aggressive chemical exposure accelerated degradation. Their findings informed changes in material specification and maintenance protocols, which reduced unexpected downtime.
The flowchart illustrates the systematic process of failure analysis for critical mechanical components, outlining the key stages that ensure reliability and continuous improvement. It begins with data collection, followed by visual and non-destructive examination to identify surface or internal defects without damaging the part. Next, material characterization is performed to assess the physical and chemical properties of the component. The process continues with Failure Mode and Effect Analysis (FMEA), which anticipates potential failure points, and Root Cause Analysis (RCA), which investigates the underlying mechanisms responsible for the failure. After identifying the root causes, engineers implement corrective and preventive actions to mitigate recurrence. Finally, the continuous improvement stage reinforces a feedback loop, integrating lessons learned into design, manufacturing, and maintenance practices to enhance overall system reliability.
Figure 1. Flowchart of the Failure Analysis Process for Critical Mechanical Components.
Source: Created by author.
The continuous study of mechanical failures not only solves immediate operational problems but drives innovation. Systematic analysis and corrective action, when embedded in maintenance strategies such as Reliability-Centered Maintenance (RCM), lead to safer and more efficient industrial practices (Silva et al., 2018). Ultimately, comprehensive failure analysis combines technical diagnostics, material science, and system engineering to safeguard the operation of critical systems, advancing reliability and safety standards across engineering fields.
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