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1. GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction

Author

Efatinasab, Emad, Brighente, Alessandro, Rampazzo, Mirco, Azadi, Nahal, and Conti, Mauro

Subjects
Computer Science - Cryptography and Security, Electrical Engineering and Systems Science - Signal Processing
Abstract

The smart grid represents a pivotal innovation in modernizing the electricity sector, offering an intelligent, digitalized energy network capable of optimizing energy delivery from source to consumer. It hence represents the backbone of the energy sector of a nation. Due to its central role, the availability of the smart grid is paramount and is hence necessary to have in-depth control of its operations and safety. To this aim, researchers developed multiple solutions to assess the smart grid's stability and guarantee that it operates in a safe state. Artificial intelligence and Machine learning algorithms have proven to be effective measures to accurately predict the smart grid's stability. Despite the presence of known adversarial attacks and potential solutions, currently, there exists no standardized measure to protect smart grids against this threat, leaving them open to new adversarial attacks. In this paper, we propose GAN-GRID a novel adversarial attack targeting the stability prediction system of a smart grid tailored to real-world constraints. Our findings reveal that an adversary armed solely with the stability model's output, devoid of data or model knowledge, can craft data classified as stable with an Attack Success Rate (ASR) of 0.99. Also by manipulating authentic data and sensor values, the attacker can amplify grid issues, potentially undetected due to a compromised stability prediction system. These results underscore the imperative of fortifying smart grid security mechanisms against adversarial manipulation to uphold system stability and reliability.

Published
2024
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2. FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids

Author

Efatinasab, Emad, Marchiori, Francesco, Brighente, Alessandro, Rampazzo, Mirco, and Conti, Mauro

Subjects
Computer Science - Cryptography and Security, Electrical Engineering and Systems Science - Signal Processing
Abstract

Predicting and classifying faults in electricity networks is crucial for uninterrupted provision and keeping maintenance costs at a minimum. Thanks to the advancements in the field provided by the smart grid, several data-driven approaches have been proposed in the literature to tackle fault prediction tasks. Implementing these systems brought several improvements, such as optimal energy consumption and quick restoration. Thus, they have become an essential component of the smart grid. However, the robustness and security of these systems against adversarial attacks have not yet been extensively investigated. These attacks can impair the whole grid and cause additional damage to the infrastructure, deceiving fault detection systems and disrupting restoration. In this paper, we present FaultGuard, the first framework for fault type and zone classification resilient to adversarial attacks. To ensure the security of our system, we employ an Anomaly Detection System (ADS) leveraging a novel Generative Adversarial Network training layer to identify attacks. Furthermore, we propose a low-complexity fault prediction model and an online adversarial training technique to enhance robustness. We comprehensively evaluate the framework's performance against various adversarial attacks using the IEEE13-AdvAttack dataset, which constitutes the state-of-the-art for resilient fault prediction benchmarking. Our model outclasses the state-of-the-art even without considering adversaries, with an accuracy of up to 0.958. Furthermore, our ADS shows attack detection capabilities with an accuracy of up to 1.000. Finally, we demonstrate how our novel training layers drastically increase performances across the whole framework, with a mean increase of 154% in ADS accuracy and 118% in model accuracy.

Published
2024
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3. Implementation and performances of the IPbus protocol for the JUNO Large-PMT readout electronics

Author

Triozzi, Riccardo, Serafini, Andrea, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Cerrone, Vanessa, Chen, Chao, Clerbaux, Barbara, Coppi, Alberto, Corti, Daniele, Corso, Flavio dal, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gavrikov, Arsenii, Gong, Guanghua, Grassi, Marco, Guizzetti, Rosa Maria, Hang, Shuang, He, Cong, Hu, Jun, Isocrate, Roberto, Jelmini, Beatrice, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Molla, Marta Colomer, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Sun, Yunhua, Triossi, Andrea, Veronese, Fabio, von Sturm, Katharina, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco Giulio, Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Subjects
Physics - Instrumentation and Detectors
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. Thanks to the tight requirements on its optical and radio-purity properties, it will be able to perform leading measurements detecting terrestrial and astrophysical neutrinos in a wide energy range from tens of keV to hundreds of MeV. A key requirement for the success of the experiment is an unprecedented 3% energy resolution, guaranteed by its large active mass (20 kton) and the use of more than 20,000 20-inch photo-multiplier tubes (PMTs) acquired by high-speed, high-resolution sampling electronics located very close to the PMTs. As the Front-End and Read-Out electronics is expected to continuously run underwater for 30 years, a reliable readout acquisition system capable of handling the timestamped data stream coming from the Large-PMTs and permitting to simultaneously monitor and operate remotely the inaccessible electronics had to be developed. In this contribution, the firmware and hardware implementation of the IPbus based readout protocol will be presented, together with the performances measured on final modules during the mass production of the electronics.

Published
2023
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4. Mass testing of the JUNO experiment 20-inch PMTs readout electronics

Author

Coppi, Alberto, Jelmini, Beatrice, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Cerrone, Vanessa, Chen, Chao, Clerbaux, Barbara, Corti, Daniele, Corso, Flavio dal, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gavrikov, Arsenii, Gong, Guanghua, Grassi, Marco, Guizzetti, Rosa Maria, Hang, Shuang, He, Cong, Hu, Jun, Isocrate, Roberto, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Molla, Marta Colomer, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Serafini, Andrea, Sun, Yunhua, Triossi, Andrea, Triozzi, Riccardo, Veronese, Fabio, von Sturm, Katharina, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco Giulio, Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Subjects
Physics - Instrumentation and Detectors
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose, large size, liquid scintillator experiment under construction in China. JUNO will perform leading measurements detecting neutrinos from different sources (reactor, terrestrial and astrophysical neutrinos) covering a wide energy range (from 200 keV to several GeV). This paper focuses on the design and development of a test protocol for the 20-inch PMT underwater readout electronics, performed in parallel to the mass production line. In a time period of about ten months, a total number of 6950 electronic boards were tested with an acceptance yield of 99.1%.

Published
2023
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5. Validation and integration tests of the JUNO 20-inch PMTs readout electronics

Author

Cerrone, Vanessa, von Sturm, Katharina, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Chen, Chao, Clerbaux, Barbara, Coppi, Alberto, Corso, Flavio dal, Corti, Daniele, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gong, Guanghua, Grassi, Marco, Hang, Shuang, Guizzetti, Rosa Maria, He, Cong, Hu, Jun, Isocrate, Roberto, Jelmini, Beatrice, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Serafini, Andrea, Sun, Yunhua, Triossi, Andrea, Triozzi, Riccardo, Veronese, Fabio, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco G., Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. JUNO will be able to study the neutrino mass ordering and to perform leading measurements detecting terrestrial and astrophysical neutrinos in a wide energy range, spanning from 200 keV to several GeV. Given the ambitious physics goals of JUNO, the electronic system has to meet specific tight requirements, and a thorough characterization is required. The present paper describes the tests performed on the readout modules to measure their performances., Comment: 20 pages, 13 figures

Published
2022
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10. Validation and integration tests of the JUNO 20-inch PMT readout electronics

Author

Cerrone, Vanessa, von Sturm, Katharina, Bellato, Marco, Bergnoli, Antonio, Bolognesi, Matteo, Brugnera, Riccardo, Chen, Chao, Clerbaux, Barbara, Coppi, Alberto, dal Corso, Flavio, Corti, Daniele, Dong, Jianmeng, Dou, Wei, Fan, Lei, Garfagnini, Alberto, Gong, Guanghua, Grassi, Marco, Hang, Shuang, Guizzetti, Rosa Maria, He, Cong, Hu, Jun, Isocrate, Roberto, Jelmini, Beatrice, Ji, Xiaolu, Jiang, Xiaoshan, Li, Fei, Liang, Zehong, Lippi, Ivano, Liu, Hongbang, Liu, Hongbin, Liu, Shenghui, Liu, Xuewei, Luo, Daibin, Luo, Ronghua, Marini, Filippo, Mazzaro, Daniele, Modenese, Luciano, Ning, Zhe, Peng, Yu, Petitjean, Pierre-Alexandre, Pitacco, Alberto, Qi, Mengyao, Ramina, Loris, Rampazzo, Mirco, Rebeschini, Massimo, Redchuk, Mariia, Serafini, Andrea, Sun, Yunhua, Triossi, Andrea, Triozzi, Riccardo, Veronese, Fabio, Wang, Peiliang, Wang, Peng, Wang, Yangfu, Wang, Yusheng, Wang, Yuyi, Wang, Zheng, Wei, Ping, Weng, Jun, Xian, Shishen, Xie, Xiaochuan, Xu, Benda, Xu, Chuang, Xu, Donglian, Xu, Hai, Yan, Xiongbo, Yan, Ziyue, Yang, Fengfan, Yang, Yan, Yang, Yifan, Ye, Mei, Zeng, Tingxuan, Zhang, Shuihan, Zhang, Wei, Zhang, Aiqiang, Zhang, Bin, Zhao, Siyao, Zi, Changge, Aiello, Sebastiano, Andronico, Giuseppe, Antonelli, Vito, Barresi, Andrea, Basilico, Davide, Beretta, Marco, Brigatti, Augusto, Bruno, Riccardo, Budano, Antonio, Caccianiga, Barbara, Cammi, Antonio, Campese, Stefano, Chiesa, Davide, Clementi, Catia, Cordelli, Marco, Dusini, Stefano, Fabbri, Andrea, Felici, Giulietto, Ferraro, Federico, Giammarchi, Marco G., Landini, Cecilia, Lombardi, Paolo, Lombardo, Claudio, Maino, Andrea, Mantovani, Fabio, Mari, Stefano Maria, Martini, Agnese, Meroni, Emanuela, Miramonti, Lino, Montuschi, Michele, Nastasi, Massimiliano, Orestano, Domizia, Ortica, Fausto, Paoloni, Alessandro, Parmeggiano, Sergio, Petrucci, Fabrizio, Previtali, Ezio, Ranucci, Gioacchino, Re, Alessandra Carlotta, Ricci, Barbara, Romani, Aldo, Saggese, Paolo, Sanfilippo, Simone, Sirignano, Chiara, Sisti, Monica, Stanco, Luca, Strati, Virginia, Tortorici, Francesco, Tuvé, Cristina, Venettacci, Carlo, Verde, Giuseppe, and Votano, Lucia

Published
2023
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23. Implementation and performances of the IPbus protocol for the JUNO Large-PMT readout electronics

Author

Triozzi, Riccardo, primary, Serafini, Andrea, additional, Bellato, Marco, additional, Bergnoli, Antonio, additional, Bolognesi, Matteo, additional, Brugnera, Riccardo, additional, Cerrone, Vanessa, additional, Chen, Chao, additional, Clerbaux, Barbara, additional, Coppi, Alberto, additional, Corti, Daniele, additional, dal Corso, Flavio, additional, Dong, Jianmeng, additional, Dou, Wei, additional, Fan, Lei, additional, Garfagnini, Alberto, additional, Gavrikov, Arsenii, additional, Gong, Guanghua, additional, Grassi, Marco, additional, Guizzetti, Rosa Maria, additional, Hang, Shuang, additional, He, Cong, additional, Hu, Jun, additional, Isocrate, Roberto, additional, Jelmini, Beatrice, additional, Ji, Xiaolu, additional, Jiang, Xiaoshan, additional, Li, Fei, additional, Liang, Zehong, additional, Lippi, Ivano, additional, Liu, Hongbang, additional, Liu, Hongbin, additional, Liu, Shenghui, additional, Liu, Xuewei, additional, Luo, Daibin, additional, Luo, Ronghua, additional, Marini, Filippo, additional, Mazzaro, Daniele, additional, Modenese, Luciano, additional, Molla, Marta Colomer, additional, Ning, Zhe, additional, Peng, Yu, additional, Petitjean, Pierre-Alexandre, additional, Pitacco, Alberto, additional, Qi, Mengyao, additional, Ramina, Loris, additional, Rampazzo, Mirco, additional, Rebeschini, Massimo, additional, Redchuk, Mariia, additional, Sun, Yunhua, additional, Triossi, Andrea, additional, Veronese, Fabio, additional, von Sturm, Katharina, additional, Wang, Peiliang, additional, Wang, Peng, additional, Wang, Yangfu, additional, Wang, Yusheng, additional, Wang, Yuyi, additional, Wang, Zheng, additional, Wei, Ping, additional, Weng, Jun, additional, Xian, Shishen, additional, Xie, Xiaochuan, additional, Xu, Benda, additional, Xu, Chuang, additional, Xu, Donglian, additional, Xu, Hai, additional, Yan, Xiongbo, additional, Yan, Ziyue, additional, Yang, Fengfan, additional, Yang, Yan, additional, Yang, Yifan, additional, Ye, Mei, additional, Zeng, Tingxuan, additional, Zhang, Shuihan, additional, Zhang, Wei, additional, Zhang, Aiqiang, additional, Zhang, Bin, additional, Zhao, Siyao, additional, Zi, Changge, additional, Aiello, Sebastiano, additional, Andronico, Giuseppe, additional, Antonelli, Vito, additional, Barresi, Andrea, additional, Basilico, Davide, additional, Beretta, Marco, additional, Brigatti, Augusto, additional, Bruno, Riccardo, additional, Budano, Antonio, additional, Caccianiga, Barbara, additional, Cammi, Antonio, additional, Campese, Stefano, additional, Chiesa, Davide, additional, Clementi, Catia, additional, Cordelli, Marco, additional, Dusini, Stefano, additional, Fabbri, Andrea, additional, Felici, Giulietto, additional, Ferraro, Federico, additional, Giammarchi, Marco Giulio, additional, Landini, Cecilia, additional, Lombardi, Paolo, additional, Lombardo, Claudio, additional, Maino, Andrea, additional, Mantovani, Fabio, additional, Mari, Stefano Maria, additional, Martini, Agnese, additional, Meroni, Emanuela, additional, Miramonti, Lino, additional, Montuschi, Michele, additional, Nastasi, Massimiliano, additional, Orestano, Domizia, additional, Ortica, Fausto, additional, Paoloni, Alessandro, additional, Parmeggiano, Sergio, additional, Petrucci, Fabrizio, additional, Previtali, Ezio, additional, Ranucci, Gioacchino, additional, Re, Alessandra Carlotta, additional, Ricci, Barbara, additional, Romani, Aldo, additional, Saggese, Paolo, additional, Sanfilippo, Simone, additional, Sirignano, Chiara, additional, Sisti, Monica, additional, Stanco, Luca, additional, Strati, Virginia, additional, Tortorici, Francesco, additional, Tuvé, Cristina, additional, Venettacci, Carlo, additional, Verde, Giuseppe, additional, and Votano, Lucia, additional

Published
2023
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30. Mass testing of the JUNO experiment 20-inch PMT readout electronics

Author

Coppi, Alberto, primary, Jelmini, Beatrice, additional, Bellato, Marco, additional, Bergnoli, Antonio, additional, Bolognesi, Matteo, additional, Brugnera, Riccardo, additional, Cerrone, Vanessa, additional, Chen, Chao, additional, Clerbaux, Barbara, additional, Corti, Daniele, additional, dal Corso, Flavio, additional, Dong, Jianmeng, additional, Dou, Wei, additional, Fan, Lei, additional, Garfagnini, Alberto, additional, Gavrikov, Arsenii, additional, Gong, Guanghua, additional, Grassi, Marco, additional, Guizzetti, Rosa Maria, additional, Hang, Shuang, additional, He, Cong, additional, Hu, Jun, additional, Isocrate, Roberto, additional, Ji, Xiaolu, additional, Jiang, Xiaoshan, additional, Li, Fei, additional, Liang, Zehong, additional, Lippi, Ivano, additional, Liu, Hongbang, additional, Liu, Hongbin, additional, Liu, Shenghui, additional, Liu, Xuewei, additional, Luo, Daibin, additional, Luo, Ronghua, additional, Marini, Filippo, additional, Mazzaro, Daniele, additional, Modenese, Luciano, additional, Molla, Marta Colomer, additional, Ning, Zhe, additional, Peng, Yu, additional, Petitjean, Pierre-Alexandre, additional, Pitacco, Alberto, additional, Qi, Mengyao, additional, Ramina, Loris, additional, Rampazzo, Mirco, additional, Rebeschini, Massimo, additional, Redchuk, Mariia, additional, Serafini, Andrea, additional, Sun, Yunhua, additional, Triossi, Andrea, additional, Triozzi, Riccardo, additional, Veronese, Fabio, additional, von Sturm, Katharina, additional, Wang, Peiliang, additional, Wang, Peng, additional, Wang, Yangfu, additional, Wang, Yusheng, additional, Wang, Yuyi, additional, Wang, Zheng, additional, Wei, Ping, additional, Weng, Jun, additional, Xian, Shishen, additional, Xie, Xiaochuan, additional, Xu, Benda, additional, Xu, Chuang, additional, Xu, Donglian, additional, Xu, Hai, additional, Yan, Xiongbo, additional, Yan, Ziyue, additional, Yang, Fengfan, additional, Yang, Yan, additional, Yang, Yifan, additional, Ye, Mei, additional, Zeng, Tingxuan, additional, Zhang, Shuihan, additional, Zhang, Wei, additional, Zhang, Aiqiang, additional, Zhang, Bin, additional, Zhao, Siyao, additional, Zi, Changge, additional, Aiello, Sebastiano, additional, Andronico, Giuseppe, additional, Antonelli, Vito, additional, Barresi, Andrea, additional, Basilico, Davide, additional, Beretta, Marco, additional, Brigatti, Augusto, additional, Bruno, Riccardo, additional, Budano, Antonio, additional, Caccianiga, Barbara, additional, Cammi, Antonio, additional, Campese, Stefano, additional, Chiesa, Davide, additional, Clementi, Catia, additional, Cordelli, Marco, additional, Dusini, Stefano, additional, Fabbri, Andrea, additional, Felici, Giulietto, additional, Ferraro, Federico, additional, Giammarchi, Marco Giulio, additional, Landini, Cecilia, additional, Lombardi, Paolo, additional, Lombardo, Claudio, additional, Maino, Andrea, additional, Mantovani, Fabio, additional, Mari, Stefano Maria, additional, Martini, Agnese, additional, Meroni, Emanuela, additional, Miramonti, Lino, additional, Montuschi, Michele, additional, Nastasi, Massimiliano, additional, Orestano, Domizia, additional, Ortica, Fausto, additional, Paoloni, Alessandro, additional, Parmeggiano, Sergio, additional, Petrucci, Fabrizio, additional, Previtali, Ezio, additional, Ranucci, Gioacchino, additional, Re, Alessandra Carlotta, additional, Ricci, Barbara, additional, Romani, Aldo, additional, Saggese, Paolo, additional, Sanfilippo, Simone, additional, Sirignano, Chiara, additional, Sisti, Monica, additional, Stanco, Luca, additional, Strati, Virginia, additional, Tortorici, Francesco, additional, Tuvé, Cristina, additional, Venettacci, Carlo, additional, Verde, Giuseppe, additional, and Votano, Lucia, additional

Published
2023
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42. Modelling and simulation of wool steaming for the efficient management of decatizing processes

Author

Ferro Fabiana Federica, Rampazzo Mirco, and Beghi Alessandro

Subjects
Environmental sciences, GE1-350
Abstract

Finishing is one of the fundamental steps of textile production and still, nowadays it largely depends on empirical knowledge. Aim of finishing processes is to impart the required functional properties to the fabric and, in particular, decatizing is the process that lends the fabrics dimensional stability, enhances the luster and improves the so-called ‘fabric hand’, corresponding to the sense of touching a textile. In this paper, we consider wool fabrics and, by exploiting the available process physical knowledge, we derive a model that can predict certain fabric characteristics, such as its temperature and moisture content, correlated with the fabric dimensional stability. We also design a simulation environment according to the model and we use it to easily generate synthetic data, obtaining information about the steaming process under different conditions. By analyzing the data, we can obtain knowledge about how to maximize the fabric decatizing process efficiency.

Published
2019
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