1. Machine learning and deep learning based predictive quality in manufacturing: a systematic review

   • Hasan Tercan
   • Tobias Meisen

   ReviewPaper Open access 28 May 2022 Pages: 1879 - 1905

   

2. Model predictive force control in milling based on an ensemble Kalman filter

   • Max Schwenzer
   • Sebastian Stemmler
   • Dirk Abel

   OriginalPaper Open access 02 April 2022 Pages: 1907 - 1919

   

3. A virtual sensor for backlash in robotic manipulators

   • Eliana Giovannitti
   • Sayyidshahab Nabavi
   • Alberto Tonda

   OriginalPaper Open access 12 April 2022 Pages: 1921 - 1937

   

4. Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems

   • Shahed Mahmud
   • Ripon K. Chakrabortty
   • Michael J. Ryan

   OriginalPaper Open access 16 April 2022 Pages: 1939 - 1966

   

5. Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy

   • A. Costa
   • G. Buffa
   • L. Fratini

   OriginalPaper Open access 16 April 2022 Pages: 1967 - 1989

   

6. The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction

   • Andrzej Macioł
   • Piotr Macioł

   OriginalPaper Open access 12 May 2022 Pages: 1991 - 2012

   

7. Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks

   • Marco Brysch
   • Mohammad Bahar
   • Michael Sinapius

   OriginalPaper Open access 17 May 2022 Pages: 2013 - 2025

   

8. Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning

   • Christopher Hagedorn
   • Johannes Huegle
   • Rainer Schlosser

   OriginalPaper Open access 23 May 2022 Pages: 2027 - 2043

   

9. Process optimization via confidence region: a case study from micro-injection molding

   • Gianluca Trotta
   • Stefania Cacace
   • Quirico Semeraro

   OriginalPaper Open access 31 May 2022 Pages: 2045 - 2057

   

10. A hybrid genetic algorithm for parallel machine scheduling with setup times

    • J. Adan

    OriginalPaper Open access 01 June 2022 Pages: 2059 - 2073

    

11. An unsupervised defect detection model for a dry carbon fiber textile

    • Martin Szarski
    • Sunita Chauhan

    OriginalPaper Open access 06 June 2022 Pages: 2075 - 2092

    

12. In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning

    • Aniruddha Gaikwad
    • Tammy Chang
    • Prahalada Rao

    OriginalPaper Open access 26 June 2022 Pages: 2093 - 2117

    

13. A novel tracking system for the iron foundry field based on deep convolutional neural networks

    • Michael Beck
    • Michael Layh
    • Bernd R. Pinzer

    OriginalPaper Open access 02 July 2022 Pages: 2119 - 2128

    

14. Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing

    • Patrick Link
    • Miltiadis Poursanidis
    • Steffen Ihlenfeldt

    OriginalPaper Open access 07 July 2022 Pages: 2129 - 2142

    

15. Relating wear stages in sheet metal forming based on short- and long-term force signal variations

    • Philipp Niemietz
    • Mia J. K. Kornely
    • Thomas Bergs

    OriginalPaper Open access 09 July 2022 Pages: 2143 - 2155

    

16. Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment

    • Marius Wenning
    • Anton Akira Backhaus
    • Peter Burggräf

    OriginalPaper Open access 11 July 2022 Pages: 2157 - 2165

    

17. A universal method to compare parts from STEP files

    • Nishant Ojal
    • Brian Giera
    • Alexander Blum

    OriginalPaper Open access 16 July 2022 Pages: 2167 - 2178

    

18. Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning

    • Jian Qin
    • Yipeng Wang
    • Stewart Williams

    OriginalPaper Open access 24 July 2022 Pages: 2179 - 2191