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Vol 10, Issue 1, 2020
Pages: 387 - 392
Original scientific paper
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Received: >> Accepted: >> Published: 10.10.2020. Original scientific paper

PARTIAL ANALYSIS AND DESIGN SPECIFICATION OF SEGMENTAL ROBOT GRIPPER EFFECTOR BY HIGH-FEED MILLING

By
Jan Duplak ,
Jan Duplak

Faculty of Manufacturing Technologies with a seat in Presov, Technical University of Košice , Košice , Slovakia

Darina Duplakova ,
Darina Duplakova

Faculty of Manufacturing Technologies with a seat in Presov, Technical University of Košice , Košice , Slovakia

Jozef Zajac ,
Jozef Zajac

Faculty of Manufacturing Technologies with a seat in Presov, Technical University of Košice , Košice , Slovakia

Michal Hatala ,
Michal Hatala

Faculty of Manufacturing Technologies with a seat in Presov, Technical University of Košice , Košice , Slovakia

Dusan Mital
Dusan Mital

Faculty of Manufacturing Technologies with a seat in Presov, Technical University of Košice , Košice , Slovakia

Abstract

 Elimination of production times is a broad-spectrum issue that is addressed by every manufacturing company, not excluding the engineering industry. Continuously increasing demands on the safety of manufacturing processes and production accuracy can be achieved only by achieving the complexity of the machine - tool-workpiece - jig system. One of the parameters of the system complexity, which ensures precise and fast machining is the jig which forms an irreplaceable part of the production process. The presented article describes the partial analysis and design specification of segmental robot gripper effector using advanced technologies. Introduction part of this article describes theoretical approaches of issue and state of the art. Material and Methods provides the creation of a design solution with basic parameters specification. The main part of this article presents a description of the analysis and design specification of segmental robot gripper effector, which is produced by high feed milling technology with a final summary of the obtained results. This research was supported by grant KEGA 025TUKE-4/2018. 

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