scholarly journals Referee: Reference Assembly Quality Scores

2019 ◽  
Vol 11 (5) ◽  
pp. 1483-1486 ◽  
Author(s):  
Gregg W C Thomas ◽  
Matthew W Hahn
Diversity ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 151
Author(s):  
Roberto Carlos Frias-Soler ◽  
Lilian Villarín Pildaín ◽  
Michael Wink ◽  
Franz Bairlein

This work presents an updated and more complete version of the transcriptome of a long-distance migrant, the Northern Wheatear (Oenanthe oenanthe). The improved transcriptome was produced from the independent mRNA sequencing of adipose tissue, brain, intestines, liver, skin, and muscle tissues sampled during the autumnal migratory season. This new transcriptome has better sequencing coverage and is more representative of the species’ migratory phenotype. We assembled 20,248 transcripts grouped into 16,430 genes, from which 78% were successfully annotated. All the standard assembly quality parameters were improved in the second transcriptome version.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 63188-63198
Author(s):  
Sixia Zhao ◽  
Liyou Xu ◽  
Jiaming Zhang ◽  
Shuai Zhang ◽  
Xiaoliang Chen ◽  
...  

2019 ◽  
Vol 106 (5-6) ◽  
pp. 2227-2241 ◽  
Author(s):  
Patrik Fager ◽  
Martina Calzavara ◽  
Fabio Sgarbossa

AbstractKitting – meaning to supply assembly with components in presorted kits – is widely seen as beneficial for assembly quality and efficiency when there is a multitude of component variants. However, the process by which kits are prepared – the kit preparation – is labour-intensive, and kit errors are problematic at assembly processes. The use of robotics to support kit preparation has received some attention by researchers, but literature is lacking with respect to how collaborative robots – cobots – can support kit preparation activities. The purpose of this paper is to identify the potential of a cobot to support time-efficient batch preparation of kits. To address the purpose, the paper presents a mathematical model for estimation of the cycle time associated with cobot-supported kit preparation. The model is applied in a numerical example with experimental data from laboratory experiments, and cobot-supported kit preparation is compared with manual kit preparation. The findings suggest that cobot-supported kit preparation is beneficial with diverse kits and smaller components quantities per SKU (Stock Keeping Unit) and provides less variability of the outcome, when compared to manual kit preparation. The paper reveals several insights about cobot-supported kit preparation that can be valuable for both academics and practitioners. The model developed can be used by practitioners to assess the potential of cobots to support kit-batch preparation in association with assembly, spare parts, repair and maintenance, or business to business industry.


2012 ◽  
Vol 500 ◽  
pp. 715-720
Author(s):  
Jian Guang Li ◽  
Jian Ding ◽  
Huai Jing Jing ◽  
Ying Xue Yao

Accuracy of the Stewart parallel manipulator is utmost important in assembly quality control procedures, and it's also difficult to demonstrate the inner relations quantitatively between errors of pose and of actuators. A novel methodology is proposed in this paper. Firstly the experiment area planning approach is proposed according to the pose and strut symmetries of the manipulator, and the uniform experiment design is conducted to investigate indexes of accuracy sensitivity. The regression equations are established to analyze the significance of various factors according to experiment results.


2021 ◽  
Vol 111 (09) ◽  
pp. 597-601
Author(s):  
Johannes Dümmel ◽  
Larissa Eger

Aktuelle Forschung zeigt das Potenzial von Produktionsplattformen im B2B-Bereich [1]. Durch die Betrachtung ganzheitlicher Lieferketten werden neben den Produktions- auch Montage- und Transportkapazitäten integriert. Für die Sicherstellung der Montagequalität innerhalb der Prozesse kommen Technologien wie Montageassistenzsysteme (Assembly Assistance Systems, AAS) zum Einsatz. Dieser Beitrag definiert Anforderungen an AAS für deren Integration in Produktionsplattformen und leitet Handlungsempfehlungen ab.   Current research shows the potential of production platforms in the B2B sector [1]. Cross-company supply chains combine assembly and transport capacities with production capacities. Technologies such as Assembly Assistance Systems (AAS) can be used to ensure assembly quality within the processes. This article defines requirements for AAS for their integration into production platforms and defines recommendations.


2017 ◽  
Vol 870 ◽  
pp. 459-464 ◽  
Author(s):  
Chuan Zhi Sun ◽  
Lei Wang ◽  
Jiu Bin Tan ◽  
Bo Zhao ◽  
Guo Liang Jin ◽  
...  

This paper aims to provide an assembly method to improve mechanical assembly quality. In order to improve the variation propagation control in rotationally symmetric cylindrical components assembly, the eccentric and tilt errors of a single rotor stage were taken into account using a connective assembly model and the eccentric deviation in a mechanical assembly was minimized by properly selecting component orientations. Compared to the minimum cumulative error, the maximum cumulative error was reduced by 71 percent, and the average cumulative error was reduced by 57 percent in the assembly of three components. This article provides an assembly method through variation propagation control in rotationally symmetric cylindrical components assembly. The method could be extended to rotationally symmetric cylindrical components assembly, for example in the assembly of aero-engine components.


2010 ◽  
Vol 118-120 ◽  
pp. 70-74
Author(s):  
Yu Liu ◽  
Jian Xin Liu ◽  
Shu Yi Yan ◽  
Zhi Min Wang ◽  
Bing Zhang

Welding process of automobile panels is a key process in the manufacturing of automobile body and its quality directly impact on the appearance and quality of automobile. The causes of dimensional deviation of welded assembly could be workpieces variation, assembly tooling variation, and welding distortion. As a major source of assembly deviation, dimensional variations of workpieces have important effects on the assembly quality of automobile body. In this paper, pre-stressing was used to reflect the workpieces’ variation and the node coupling method was used in the numerical simulation to predict the deformation of assembly caused by the welding process of automobile panels. And further the computation results were listed and compared with the measured ones.


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