近日,苏州东方克洛托光电技术有限公司(以下简称“东方克洛托光电”)凭借其出色的产品性能和优质的服务,成功中标中国科学院上海光机所的招标项目,并于12月初完成了设备的交付。此次中标及交付,不仅代表着东方克洛托光电在光学精密检测领域的实力得到了权威认可,也为其未来的发展奠定了坚实的基础。
中国科学院上海光机所作为我国在光学研究领域的权威科研机构,一直致力于推动光学技术的创新与发展。此次招标项目旨在引进先进的光学精密检测仪器,以提升其光学系统的研发与检测能力。东方克洛托光电凭借其出色的产品性能和丰富的行业经验,成功中标了镜面间隔与双光路中心偏差测量仪两套设备。
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" width="555" height="261">
镜面间隔测量仪是克洛托光电自主研发的一款高精度光学检测设备,其测量精准度达到了±1μm,且具有自主知识产权的工程化间隔测量软件。该产品能够准确测量光学系统中镜片之间的空气间隔与光学原件的中心厚度,为光学系统的装调与质量检测提供了有力的支持。而且操作简便,易于上手,极大降低了操作人员的使用门槛,即使是初次使用者也能快速掌握并熟练运用。此外,该装备突破了镜片辅助装调指示、复杂背景中干涉峰值包络提取及峰值匹配等核心技术,进一步提升了测量的精准度与可靠性。
双光路中心偏差则是东方克洛托光电在2024年上市的新品,用于测量镜片数量较多的光学系统、测量不透可见光的镜片中心偏差以及红外光学镜头。该设备增加了被测镜头高度值,最大高度值为600mm,测量最大直径可达600mm。除此之外,双向光路同时测量使测量效率有了提升。
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