Article
Materials Science, Multidisciplinary
Akihiko Aoyagi, Barry Stipe, Roger Wood, Steven Campbell, Xiaodong Che
Summary: This paper describes the history and advantages of helium-sealed HDDs, and discusses the future prospects of sealed-drive technology.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2022)
Article
Chemistry, Physical
Tomasz Skrzekut, Maciej Wedrychowicz, Andrzej Piotrowicz
Summary: The paper presents a comparison study on two methods of recycling aluminum from HDD platters – the melting method and the method of plastic consolidation. The study involved examining the composition and properties of HDD memory components, specifically the data carriers (platters), through various tests and analysis. The results provide insights into the performance characteristics of the materials under different recycling methods.
Article
Computer Science, Artificial Intelligence
Antonino Ferraro, Antonio Galli, Vincenzo Moscato, Giancarlo Sperli
Summary: In recent years, the optimization of maintenance operations has been a major challenge in Industry 4.0. Various predictive maintenance frameworks have been developed to reduce maintenance costs and downtime intervals. However, these frameworks often rely on complex deep learning models, making it difficult for humans to understand their predictions. This paper focuses on using explainable artificial intelligence (XAI) methodologies to explain the predictions made by a recurrent neural network model for estimating the remaining useful life (RUL) of hard disk drives (HDDs). The results show that the SHapley Additive exPlanations (SHAP) method outperforms the local interpretable model-agnostic explanations (LIME) method, providing a suitable and effective solution for HDD predictive maintenance applications.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Computer Science, Artificial Intelligence
Sladjana M. Djurasevic, Uros M. Pesovic, Borislav S. Djordjevic
Summary: The electromechanical design of HDD makes it prone to failures, which can result in permanent data loss. The SMART system warns users of potential failures by monitoring HDD parameters. This paper introduces a machine learning-based anomaly detection model for accurate failure prediction and timely data backup.
APPLIED ARTIFICIAL INTELLIGENCE
(2021)
Article
Engineering, Electrical & Electronic
Abhishek Srivastava, Bernd Lamberts, Karthik Venkatesh, Rahul Rai, Ning Li, Bernhard Knigge
Summary: This paper proposes a method to reduce head-disk interaction (HDI) by flying higher at low thermal fly-height control power during thermal asperity (TAs) detection and classification, mapping out all TAs before lowering the fly height to minimize head interaction. Although this approach increases test time, it can enhance drive reliability and protect sensitive read/write elements, especially for energy assisted recording.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2021)
Article
Engineering, Environmental
Kali Frost, Ines Sousa, Joanne Larson, Hongyue Jin, Inez Hua
Summary: This study evaluated a pilot-scale R&R process for RE magnet assemblies and compared the environmental impacts using life cycle assessment (LCA). The results showed an 86% reduction in global warming potential and highlighted the benefits of collocated R&R process with data centers.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Engineering, Multidisciplinary
Takenori Atsumi, Shota Yabui
Summary: The future of cloud services relies on the growth of hard disk drive (HDD) capacity to meet the increasing demands for data storage. To address this, a proposed control system design method for future HDD technology called the quadruple-stage actuator system is introduced, using a robust controller design approach with visualized guidelines. Validation results demonstrate that the proposed control system exhibits strong robustness against significant disturbances for HDDs.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yanning Liu
Summary: Piezoelectric actuators are widely used in hard disk drives for position control. Micro-actuators with piezo elements next to the magnetic heads have been introduced to improve positioning accuracy. This paper reviews and analyzes these micro-actuators and proposes future improvement directions.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Pierre-Olivier Jubert, Yuri Obukhov, Cristian Papusoi, Paul Dorsey
Summary: The magnetic properties and recording capability of sputtered tape media were evaluated using HDD components. The addition of a magnetic cap significantly improved the performance of the sputtered tape, including recording performance. The results demonstrate the potential of achieving high areal density and further improvements in the tape medium.
IEEE TRANSACTIONS ON MAGNETICS
(2022)
Article
Engineering, Environmental
Julien Walzberg, Robin Burton, Fu Zhao, Kali Frost, Stephanie Muller, Alberta Carpenter, Garvin Heath
Summary: By 2025, the installed data storage capacity in the US is projected to reach 2.2 Zettabytes, resulting in around 50 million units of end-of-life hard-disk drives (HDDs) annually. Currently, most EOL HDDs are shredded due to data security concerns, causing economic loss. Additionally, the extraction of raw materials for storage production has environmental impacts. A circular economy (CE) approach, involving reuse and recycling, can maximize value retention and minimize environmental impacts. However, the lack of trust in non-physical data removal methods hinders HDD reuse. This study proposes an agent-based modeling (ABM) approach to analyze the factors influencing end-users' decisions to adopt alternative EOL management practices. The results highlight the potential of green procurement and robust standards in building trust in data wiping technologies, demonstrating the environmental and economic benefits of HDD reuse compared to shredding and material recovery.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Automation & Control Systems
Jishan Ahmed, Robert C. Green II
Summary: This study proposes the use of long short term memory networks and a modified focal loss function to address the class imbalance issue in failure prediction. Comparing with traditional machine learning algorithms, the results demonstrate that this approach achieves better performance while maintaining a higher failure detection rate.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Computer Science, Hardware & Architecture
Wen Cheng, Yuqi Zou, Lingfang Zeng, Yang Wang
Summary: The paper introduces a hybrid storage system called Hercules, which combines dual-mode flash memory and hard drive disk to improve storage performance through intelligent data division and migration. The results show that it can effectively improve data access speed and reduce response time.
Article
Engineering, Aerospace
Brandon M. Lowe, David W. Zingg
Summary: This paper introduces a model order reduction framework for flutter-constrained aircraft optimization. By linearizing the Euler equations around a steady-state solution, a linear reduced-order model with fewer degrees of freedom is constructed and coupled with a linear structural model to form a monolithic aeroelastic system. The onset of flutter is determined by analyzing the eigenvalues of the resulting system, and the use of a stabilizing inner product is demonstrated to ensure the stability of the model.
Article
Computer Science, Interdisciplinary Applications
Amareshwara Sainadh Chamarthi
Summary: This paper extends Chamarthi's gradient-based reconstruction approach to achieve genuine high-order accuracy in inviscid test cases involving smooth flows. A seventh-order accurate scheme is derived and is more efficient than the seventh-order weighted compact nonlinear scheme for the considered test cases. The proposed method uses a problem-independent discontinuity detector to ensure high-order accuracy.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Management
Genjiro Kosaka
Summary: The literature on modularity suggests that alignment between organizational design, knowledge scope, and product architecture can lead to better product development performance. For component firms facing architectural changes, partial mirroring or misting approaches can be effective in adapting to these changes. Integrating engineers play a central role in coordinating component knowledge based on a common technological foundation among components.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
(2022)