Hot stamping is one of the key technologies to produce lightweight components for the automotive industry. Numerical simulations are an important tool to design hot stamping tools. However, the hot stamping simulations are highly complex due to the deformation as well as heat transfer and phase transformation mechanisms taking place simultaneously. An accurate prediction of these mechanisms leads to high computational cost. Conventionally, an elastoplastic material model with temperature and strain rate dependence is used to describe the forming behavior, while austenite decomposition models are used to predict the kinetics of the phase trans
Hart-Rawung, Thawin, Buhl, Johannes, Bambach, Markus
Research paper by Ema Utami and collaborators, published 2026 in Engineering Technology & Applied Science Research. Research area: Natural Language Processing Techniques.
Ema Utami, Sri Ngudi Wahyuni, Mulia Sulistiyono, Suwanto Raharjo, Anggit Dwi Hartanto, Arif Nur Rohman, Bambang Krismono Triwijoyo, Titik Ceriyani Miswaty, Elyakim Nova Supriyedi Patty, Fahry
Close-die forging usually has the goal of shaping a workpiece at reduced forming forces and to set the properties for the application at hand utilizing the microstructural changes occurring at high homologous temperatures. The evolution of the property-determining microstructure can be treated as a dynamic system during hot forming. It is controlled by the temporal evolution of the temperature and velocity fields at the material points in the workpiece. Variations in the initial microstructure, friction and heat transfer conditions lead to variations in properties. When forging on screw presses, the workpiece is brought into its final shape w
Bambach, Markus, Imran, Muhammad, Sizova, Irina, Buhl, Johannes, Gerster, Stephan, Herty, Michael
Research paper by Nikhil Parkar and collaborators, published 2026 in Ecological Informatics. Research area: Topic Modeling.
Nikhil Parkar, M. Marimuthu, Aditi Agale, Vraj Prajapati, Arnav Parekar, Aditi Bambal, Shivam Chavan
Research paper by Isti Surjandari and collaborators, published 2026 in Results in Engineering. Research area: Imbalanced Data Classification Techniques.
Isti Surjandari, Dewa Ferrouzi Diaz Zhah Pahlevi, Annisa Marlin Masbar Rus, Bambang Trigunarsyah
Research paper by Happy Buzaaba and collaborators. arXiv record dated 2026-09-01. Research area: Language technology.
Happy Buzaaba, Cheikh Mouhamadou Bamba Dione, David Ifeoluwa Adelani, Sylvain Kahane, Kim Gerdes, Bruno Guillaume, Kevin Guan, Aremu Anuoluwapo, Naome A. Etori, Shamsuddeen Hassan Muhammad, Utitofon Inyang, Peter Nabende, David Sabiiti Bamutura, Andiswa Bukula, Chinedu Uchechukwu, Rooweither Mabuya, Idris Akinade, Christiane Fellbaum
Research paper by Siti Nurmaini and collaborators, published 2026 in Scientific Reports. Research area: AI in cancer detection.
Siti Nurmaini, Muhammad Naufal Rachmatullah, Patiyus Agustiansyah, Rizal Sanif, Irawan Sastradinata, Elly Matul Imah, Annisa Darmawahyuni, Bambang Tutuko, Akhiar Wista Arum, Anggun Islami, Firdaus Firdaus, Ade Iriani Sapitri, Aini Nabilah, Radiyati Umi Partan, Rizqi Ayunda Pratama
Research paper by Riyadi Purwanto and collaborators, published 2026 in Jurnal Teknik Informatika (Jutif). Research area: Explainable Artificial Intelligence (XAI).
Riyadi Purwanto, Fajar Mahardika, Dwi Novia Prasetyanti, Cahya Vikasari, Rostika Listyaningrum, Raden Bagus Bambang Sumantri
Research paper by Muhimatul Ifadah and collaborators, published 2026 in Elkom Jurnal Elektronika dan Komputer. Research area: Sentiment Analysis and Opinion Mining.
Muhimatul Ifadah, Bambang Irawan
Research paper by Andreas Fajar Nugroho and collaborators, published 2026 in Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI). Research area: Sentiment Analysis and Opinion Mining.
Andreas Fajar Nugroho, Bambang Suharto
Research paper by Zahrotun Ni'mah - and collaborators, published 2026 in Jurnal Informatika dan Teknik Elektro Terapan. Research area: Sentiment Analysis and Opinion Mining.
Zahrotun Ni'mah -, Bambang Irawan, Nur Ariesanto Ramdhan
Research paper by Hilda Nur Alfiana and collaborators, published 2026 in Jurnal Teknik Informatika (Jutif). Research area: Sentiment Analysis and Opinion Mining.
Hilda Nur Alfiana, Afrizal Doewes, Bambang Widoyono
