@misc{BesongBuhlBambach, author = {Besong, Lemopi Isidore and Buhl, Johannes and Bambach, Markus}, title = {Investigations on hole-flanging by paddle forming and a comparison with single point incremental forming}, series = {International Journal of Mechanical Sciences}, volume = {vol. 164}, journal = {International Journal of Mechanical Sciences}, issn = {0020-7403}, doi = {10.1016/j.ijmecsci.2019.105143}, pages = {17}, language = {en} } @misc{BesongBuhlBambach, author = {Besong, Lemopi Isidore and Buhl, Johannes and Bambach, Markus}, title = {Paddle shape optimization for hole-flanging by paddle forming through the use of a predefined strain path in finite element analysis}, series = {Journal of Machine Engineering}, volume = {Vol. 19}, journal = {Journal of Machine Engineering}, number = {2}, issn = {1895-7595}, doi = {10.5604/01.3001.0013.2226}, pages = {83 -- 98}, language = {en} } @misc{BesongBuhlUensaletal., author = {Besong, Lemopi Isidore and Buhl, Johannes and {\"U}nsal, Ismail and Bambach, Markus and Polte, Mitchel and Blumberg, Julian and Uhlmann, Eckart}, title = {Development of Tool Paths for Multi-axis Single Stage Incremental Hole-flanging}, series = {Procedia Manufacturing; Part of Special issue: 23rd International Conference on Material Forming}, volume = {47}, journal = {Procedia Manufacturing; Part of Special issue: 23rd International Conference on Material Forming}, editor = {Bambach, Markus}, issn = {2351-9789}, doi = {10.1016/j.promfg.2020.04.290}, pages = {1392 -- 1398}, language = {en} } @misc{BlumbergLiBesongetal., author = {Blumberg, Julian and Li, Zhoulong and Besong, Lemopi Isidore and Polte, Mitchel and Buhl, Johannes and Uhlmann, Eckart and Bambach, Markus}, title = {Deformation error compensation of industrial robots in single point incremental forming by means of data-driven stiffness model}, series = {26th International Conference on Automation and Computing (ICAC), 2-4 Sept. 2021, Portsmouth, United Kingdom}, journal = {26th International Conference on Automation and Computing (ICAC), 2-4 Sept. 2021, Portsmouth, United Kingdom}, isbn = {978-1-86043-557-7}, doi = {10.23919/ICAC50006.2021.9594138}, pages = {6}, language = {en} } @misc{BesongBuhlBambach, author = {Besong, Lemopi Isidore and Buhl, Johannes and Bambach, Markus}, title = {Increasing formability in hole-flanging through the use of punch rotation based on temperature and strain rate dependent forming limit curves}, series = {International Journal of Material Forming}, volume = {15}, journal = {International Journal of Material Forming}, number = {3}, issn = {1960-6214}, doi = {10.1007/s12289-022-01684-6}, pages = {1 -- 21}, language = {en} } @misc{BesongBuhlHaerteletal., author = {Besong, Lemopi Isidore and Buhl, Johannes and H{\"a}rtel, Sebastian and Bambach, Markus}, title = {Increasing the Forming Limits in Hole Flanging of Dual-Phase (DP) 1000 Steel Using Punch Rotation}, series = {Key Engineering Materials}, volume = {Vol. 926}, journal = {Key Engineering Materials}, issn = {1662-9795}, doi = {10.4028/p-06y8un}, pages = {717 -- 723}, language = {en} } @misc{BuhlHaertelBesong, author = {Buhl, Johannes and H{\"a}rtel, Sebastian and Besong, Lemopi Isidore}, title = {Temperature Control of the Two-Point Incremental Forming Process to Achieve Homogeneous Martensite Content Based on Finite Element Simulations}, series = {Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity, ICTP 2023 - Volume 1}, journal = {Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity, ICTP 2023 - Volume 1}, editor = {Mocellin, Katia}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-41022-2}, issn = {2195-4356}, doi = {10.1007/978-3-031-41023-9_74}, pages = {739 -- 747}, abstract = {Deformation-induced martensite has been observed in the incremental sheet forming of metastable austenitic stainless steels (MASS). The presence of martensite improves the characteristics of the springs. Martensite transformation usually occurs at low temperatures (<70 ℃). Depending on the tool speed, incremental forming of disk springs requires between 3 to 5 min. The forming time needs to be short to increase the process output in industrial settings. However, accelerating the process leads to high temperatures above the martensite transformation temperature that suppress martensite formation, necessitating temperature control during forming. It is suggested to enhance the martensite content of the blank by cooling during the forming operation. In this contribution, two-point incremental sheet forming is conducted to determine the influence of process temperature on the phase content of MASS disk springs. A temperature-dependent phase change material model that includes the strain rate effect is implemented in finite element (FE) simulations to predict the martensite content. FE simulations are performed to investigate the convection coefficients and cooling time leading to process temperatures below 70 ℃. The framework can be used to control and speed up the incremental forming of disk springs while maintaining a high martensite content.}, language = {en} } @misc{FotsingTchuitcheuBesongetal., author = {Fotsing, Cedrique and Tchuitcheu, Willy Carlos and Besong, Lemopi Isidore and Cunningham, Douglas William and Bobda, Christophe}, title = {A specialized pipeline for efficient and reliable 3D semantic model reconstruction of buildings from indoor point clouds}, series = {Journal of Imaging}, volume = {10}, journal = {Journal of Imaging}, number = {10}, editor = {Mei, Guofeng}, publisher = {MDPI}, issn = {2313-433X}, doi = {10.3390/jimaging10100261}, abstract = {Recent advances in laser scanning systems have enabled the acquisition of 3D point cloud representations of scenes, revolutionizing the fields of Architecture, Engineering, and Construction (AEC). This paper presents a novel pipeline for the automatic generation of 3D semantic models of multi-level buildings from indoor point clouds. The architectural components are extracted hierarchically. After segmenting the point clouds into potential building floors, a wall detection process is performed on each floor segment. Then, room, ground, and ceiling extraction are conducted using the walls 2D constellation obtained from the projection of the walls onto the ground plan. The identification of the openings in the walls is performed using a deep learning-based classifier that separates doors and windows from non-consistent holes. Based on the geometric and semantic information from previously detected elements, the final model is generated in IFC format. The effectiveness and reliability of the proposed pipeline are demonstrated through extensive experiments and visual inspections. The results reveal high precision and recall values in the extraction of architectural elements, ensuring the fidelity of the generated models. In addition, the pipeline's efficiency and accuracy offer valuable contributions to future advancements in point cloud processing.}, language = {en} }