Formation of Part Families for Shared Setups Generation in Sheet Metal Bending

Author(s):  
Satyandra K. Gupta

Abstract Sheet metal bending press-brakes can be setup to produce more than one type of parts without requiring a setup change. To exploit this flexibility, we need setup planning techniques to generate press-brake setups that can be shared among many different parts. In this paper, we describe an algorithm which partitions a given set of parts into setup compatible part families which can be produced on the same setup. Our algorithm is based on a two step approach. The first step is to identify setup constraints for each individual part. The second step is to form setup-compatible part families based on the compatibility of setup constraints. We expect that by producing many different types of parts on the same setup, we can significantly reduce the required number of setups and enable cost effective small batch manufacturing.

Author(s):  
Satyandra K. Gupta ◽  
Deepak Rajagopal

Abstract To enable cost-effective small batch manufacturing, we need to eliminate unnecessary setup operations, improve tool utilization, and thereby increase throughput. In sheet metal bending, the time taken for the actual process of bending is significantly less compared to the time taken for setup and tool changes. Press-brakes for sheet metal bending can be setup to produce more than one type of parts without requiring a setup change. To exploit this flexibility, we need setup planning techniques so that press-brake setups can be shared among many different parts. In this paper, we describe an approach based on mixed integer programming to generate a shared setup for a set of parts. We expect that by producing many different types of parts on the same setup, we can significantly reduce the number of setups required and enable cost-effective small-batch manufacturing.


1999 ◽  
Vol 121 (4) ◽  
pp. 689-694 ◽  
Author(s):  
S. K. Gupta ◽  
D. A. Bourne

Contemporary process planners for sheet metal bending solve the process planning problem for individual parts. Quite often, many different parts can be produced on shared setups. However, plans generated by current process planning systems fail to exploit this commonality between setups and try to generate optimal setups for individual parts. In this paper, we present an algorithm for multi-part setup planning for sheet metal bending. This algorithm takes a set of parts and operation sequences for these parts, and tries to find a shared setup plan that can work for every part in the set. Setup changes constitute a major portion of the production time in batch production environments. Therefore, multi-part setup planning techniques can be used to significantly cut down the total number of setups and increase the overall through-put.


2002 ◽  
Vol 21 (5) ◽  
pp. 329-349 ◽  
Author(s):  
Satyandra K. Gupta ◽  
Deepak Rajagopal

Data ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 71 ◽  
Author(s):  
Marco Mulas ◽  
Giuseppe Ciccarese ◽  
Giovanni Truffelli ◽  
Alessandro Corsini

This paper describes a dataset of continuous GNSS positioning solutions referring to slope movements in the Ca’ Lita landslide (Northern Apennines, Italy). The dataset covers the period from 24 March 2016 to 17 July 2019 and includes time-series of the daily position of three GNSS rovers located in different parts of the landslide: head zone, upper track zone, and lower track zone. Two different types of continuous GNSS arrays have been used: one is based on high-end Leica geodetic receivers, and the other is based on low-cost effective Emlid receivers. Displacements captured in the dataset are up to more than a hundred meters and are characterized by prolonged phases of slow movement and moderately rapid acceleration phases. The data presented in this contribution were used to underline slope processes and validate displacements retrieved by the application of digital image correlation to a stack of a satellite images.


2019 ◽  
Vol 16 (7) ◽  
pp. 587-595 ◽  
Author(s):  
Roberto Santangelo ◽  
Alessandro Dell'Edera ◽  
Arianna Sala ◽  
Giordano Cecchetti ◽  
Federico Masserini ◽  
...  

Background: The incoming disease-modifying therapies against Alzheimer’s disease (AD) require reliable diagnostic markers to correctly enroll patients all over the world. CSF AD biomarkers, namely amyloid-β 42 (Aβ42), total tau (t-tau), and tau phosphorylated at threonine 181 (p-tau181), showed good diagnostic accuracy in detecting AD pathology, but their real usefulness in daily clinical practice is still a matter of debate. Therefore, further validation in complex clinical settings, that is patients with different types of dementia, is needed to uphold their future worldwide adoption. Methods: We measured CSF AD biomarkers’ concentrations in a sample of 526 patients with a clinical diagnosis of dementia (277 with AD and 249 with Other Type of Dementia, OTD). Brain FDG-PET was also considered in a subsample of 54 patients with a mismatch between the clinical diagnosis and the CSF findings. Results: A p-tau181/Aβ42 ratio higher than 0.13 showed the best diagnostic performance in differentiating AD from OTD (86% accuracy index, 74% sensitivity, 81% specificity). In cases with a mismatch between clinical diagnosis and CSF findings, brain FDG-PET partially agreed with the p-tau181/Aβ42 ratio, thus determining an increase in CSF accuracy. Conclusions: The p-tau181/Aβ42 ratio alone might reliably detect AD pathology in heterogeneous samples of patients suffering from different types of dementia. It might constitute a simple, cost-effective and reproducible in vivo proxy of AD suitable to be adopted worldwide not only in daily clinical practice but also in future experimental trials, to avoid the enrolment of misdiagnosed AD patients.


Author(s):  
Chetan P Nikhare ◽  
Nitin Kotkunde ◽  
Swadesh Kumar Singh

2014 ◽  
Vol 15 ◽  
pp. 439-446 ◽  
Author(s):  
U. Damerow ◽  
D. Tabakajew ◽  
M. Borzykh ◽  
W. Schaermann ◽  
W. Homberg ◽  
...  

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