When providing mechanical engineering answers, collecting field data is only the first step. The real challenge is turning that information into meaningful engineering decisions that solve the underlying problem, not just the symptoms. In this Design News article, Gene Smiley explains how engineers use state diagrams, real-world testing, and simulation
In today’s engineering world, sophisticated software, advanced sensors, and powerful simulation tools are available to virtually everyone. Data acquisition systems are faster, finite element models are more detailed, and AI is reshaping engineering workflows. Yet despite all this technology, one truth remains unchanged: Testing and analysis has always been both
Does this sound familiar? The equipment bearing was replaced and the coupling was aligned. After the cracked bracket was reinforced, the machine was restarted and everything ran smoothly. At least for a while. Recurring equipment failures are among the most frustrating and costly challenges manufacturers face. Downtime increases, maintenance costs
A critical piece of equipment develops cracks. Vibration increases, and problems escalate until the system fails. Maintenance teams struggle to implement a permanent fix while the supplier offers no lasting solution. Whether it is mining equipment deep underground, a generator on an offshore oil platform, a turbine on the plant floor, or a warehouse
Once equipment or structures are placed into service, the real-world often kicks in. When this happens, behavior often diverges from design and performance expectations. Industrial equipment that passes post-manufacturing inspections can begin to exhibit vibration, noise, fatigue, cracking, or degraded performance after installation or field usage. In many cases, the
Unlock the Secrets of Structural Vibration. Download this Free experimental modal analysis paper. Master proven methods and advanced case studies in Experimental Modal Analysis (EMA): from preparing a test to interpreting results and validating models. Senior management at SixDOF Testing & Analysis (6D) pioneered many of the modal testing techniques
On the surface gaining access to equipment operating data seems simple enough. Prepare the mining truck with strain gages, accelerometers and other sensitive data collection instrumentation, record the forces as the truck is filled with dirt, rocks, gravel or coal and run the analysis to determine the results. While this
Every structure vibrates. From automotive components to aircraft assemblies and rotating machinery, vibrations reveal how a design behaves under real-world conditions. Modal analysis is the science that makes those vibrations measurable and meaningful. By identifying a structure’s natural frequencies, mode shapes, and damping, modal analysis helps engineers predict, control, and
Organizations that rely on digital workflows must contend with assumptions about geometry, material properties, boundary conditions, linearity, and other variables that rarely act exactly as expected in the real world. Physical testing supplies the practical data to correlate models, validate assumptions, and expose anomalies often overlooked by simulations. When applied
We live in a digital world. Design, analysis, and manufacturing applications automate and accelerate time-to-market. Artificial intelligence (AI), smart manufacturing, and robotics are increasingly common on the factory floor. Equipment monitors itself, schedules maintenance, and even triggers corrective action before failure occurs. Within mechanical engineering, automated systems collect and analyze
