English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In order to perform a high-productivity manufacturing by fully utilizing the potential of today's high-speed machining centers, it is important for a manufacturing system that can autonomously determine machining conditions in an intelligent manner. This paper presents the implementation of an autonomous machining process monitoring scheme and an in-process optimization scheme of tool paths and machining conditions into canned milling cycles. Since a tool path is simple, repetitive, and known in such a canned milling cycle, the implementation of such an in-process control scheme is more practical compared to the case under an arbitrary tool path. This paper particularly considers a trochoidal grooving canned cycle as an example.

An autonomous optimization of tool paths in canned cycles for end milling