This inventor holds 12 USPTO granted patents and 2 published patent applications and 9 EPO patents. Top assignees: Siemens Aktiengesellschaft, Big Data in Manufacturing Gmbh. Active years: 2005-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2005-2021
Title: Volker Kreidler: Innovator in CNC Machining Technologies
Introduction
Volker Kreidler is a prominent inventor based in Hechingen, Germany. He has made significant contributions to the field of CNC machining, holding a total of 12 patents. His work focuses on enhancing the efficiency and quality of machining processes through innovative methods and technologies.
Latest Patents
Kreidler's latest patents include a computer-implemented method for part analytics of a workpiece machined by at least one CNC machine. This invention relates to analyzing the quality and engineering process of a workpiece, utilizing a digital machine model that incorporates real-time and non-real-time process data. Another notable patent is a method for optimizing the productivity of a machining process of a CNC machine. This method involves increasing the path velocity along the tool path while considering the dynamical limits of the drive axes and adapting the NC program accordingly.
Career Highlights
Throughout his career, Kreidler has worked with notable companies such as Siemens Aktiengesellschaft and Big Data in Manufacturing GmbH. His experience in these organizations has allowed him to develop and refine his innovative approaches to CNC machining.
Collaborations
Kreidler has collaborated with esteemed colleagues, including Knut Lagies and Wolfgang Mutscheller. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Volker Kreidler's contributions to CNC machining technologies demonstrate his commitment to innovation and excellence in engineering. His patents reflect a deep understanding of the complexities involved in machining processes, positioning him as a key figure in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
