TPT November 2017

I NDUS T RY

10,000 th Spectromaxx device delivered SPECTRO Analytical Instruments recently delivered its 10,000 th titanium, magnesium, zinc, tin and lead matrices.

elements, such as lead, tin, arsenic, silicon, magnesium, copper, zinc and alkali elements, such as lithium, sodium or strontium.

“Along with device performance, Spectro’s strong brand reputation, high profile in the automotive industry and comprehensive after-sales service played very important roles for us in the decision to choose Spectro,” said Mr Du, QC manager at Geely. He added: “Since its commissioning the Spectromaxx has impressed us with its high stability

Spectromaxx metal analyser to Geely Automobile, a Chinese automotive and motorcycle manufacturer. As part of its automotive and motorcycle production, Geely has raw materials, components and parts tested to determine whether they meet its quality requirements as well as international standards. When the company looked for a suitable metal analyser for this important task it undertook a thorough analysis of what was available on the market and ultimately chose the Spectromaxx. The leading applications for the Spectromaxx are the incoming and outgoing goods controls in the metal industry and process monitoring in foundries. All elements used in the metal industry can be determined with it, including application-relevant analysis of carbon, phosphorous, sulphur and nitrogen. Corresponding calibration modules are available for iron, aluminium, copper, nickel, cobalt,

Spectro Analytical Instruments GmbH – Germany Fax: +49 2821 892 2200 Email: spectro.info@ametek.com Website: www.spectro.com

and accuracy of analysis, low error rate, easy operation, self- diagnostic functions and low operating costs.” Geely uses the device mainly to analyse various steel alloys, copper, sheet metal, bronze, aluminium alloys and nickel- based superalloys. “Many of our samples are unusually shaped. Sometimes, they are very small or very thin. The analysis device must be accordingly flexible,” says Mr Du. The samples are analysed with respect to a number of

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NOVEMBER 2017