B axis calibration is critical in 5-axis machine performance verification to maintain quality, but due to the design of the rotary heads, it was not possible to mount equipment to the centre of these axes to verify performance.
Manufacturers have long dealt with equipment failures. While they may be inevitable, equipment failures should not cause serious downtime, eat into profits or make manufacturers overspend their budgets.
For those in high volume, low margin industries such as food and beverage or automotive parts manufacturing, preventative maintenance may be wrongly seen as unattainable, due to perceived high upfront costs.
With many maintenance operations still planned and performed manually, often by experienced operators performing sometimes basic yet time-consuming tasks, it is easy to see how manufacturers are sometimes swimming against the tide when it comes to achieving efficiency goals.
Why does maintenance work tend to become narrowly focused so that it becomes virtually inaccessible to most people?
Preventative maintenance is a comprehensive and facility wide program that ensures that you're protecting your investment dollars and supporting the bottom line of your facility, including ensuring the health and well-being of all associates working on the production line.
Autonomous Maintenance is one of eight pillars that make up Total Productive Maintenance (TPM). It's also one of the most important activities that eventually determine the success of any TPM implementation project.
Manufacturing plant cleanliness was a hugely important topic long before the global outbreak of COVID-19. However, recent events have thrown this issue into even sharper relief.
Time to market and innovation issues are only two examples from the long list of the most common challenges even the top manufacturers face. In an effort to solve their problems and optimize their business processes, most manufacturers turn to tailored PLM solutions nowadays.
In contrast to traditional corrective maintenance or scheduled maintenance, CBM is an approach whereby maintenance is performed proactively on evidence of need identified through direct or indirect monitoring and predictive analytics of the assets of interest.
Taking a predictive approach to maintenance is key to maximising uptime, and with Industry 4.0 transforming the manufacturing landscape, now is the time for design engineers to look to digital solutions to reduce machine downtime and ensure consistent levels of efficiency.
Metal AM powders, such as titanium, aluminium and Inconel are used to produce parts for F1 cars and to ensure their quality, the powder is qualified before use and, when the build process is complete, unused powder is reclaimed and requalified.
Not investing in the right lubricant is clearly a costly mistake especially if you are buying old machinery for business use. This is because a good lubricant can maximize the returns on your investment by ensuring that your old machinery runs at optimal efficiency...
Addressing the wear and tear on equipment is essential for any manufacturing operation, and in this article, we'll detail everything you need to know. We'll walk you through four effective methods of cleaning and maintenance so you can avoid expensive downtime
By tapping into existing maintenance or equipment logs, a manufacturer can apply machine learning to predict which connected devices or machines will be in need of servicing or forecast required inventory levels across warehouse locations...
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Nothing beats the positioning accuracy of linear encoders from HEIDENHAIN. Available in absolute and incremental versions and ideal for a variety of applications-including machine tools, semiconductor machines and medical machines-these measuring solutions combat a variety of issues that erode precision.