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Metallography involves the preparation of metal samples for microscopic study, in order to distinguish structures and any possible deformations. There are four steps involved in sample preparation: cutting, mounting, grinding, and then polishing. Grinding is an important step as it reveals a smooth portion of the sample surface for study.
A diamond grinding disc from Akasel is ideal for plane, fine and ultrafine grinding of various materials, including metals. Abrasives are fixed within the disc, and water is used in the sample grinding process to counter thermal damage. Furthermore, these discs consist of a wear compensating surface for extended use and effective material grinding. There are two forms of diamond grinding disc available at Akasel, which are colour coded on the website to make it easy for customers to differentiate between the solutions. Customers are investing into cost-effective and reliable solutions with these products; they produce ideal planeness and edge retention, and no further steps are necessary in the grinding process. In fact, a single diamond grinding disc is worth over two hundred pieces of grinding paper.
Anyone working with sample preparation can appreciate the properties of diamond grinding discs; any damaged sections or intruding materials can be removed with ease. One of the most important factors, however, is the reproducibility that a good grinding disc offers: every use will provide high-quality results.
The microstructures of metals provide information regarding their significant properties, i.e., longevity. Industrial customers, such as those in the automotive industry, understand the value of metallographic studies. These studies ensure that materials used in the field meet appropriate quality standards and informs various subcontractors on how to monitor their production of parts. In the aviation industry, information about the microstructures of metals is necessary for engineers to address environmental factors via weight reductions. In most cases, metal components are specified on worst-case performance possibilities.
