AHSS—Construction Material Used in Smart Cities
Abstract
:1. Introduction—Smart City Research Areas
- Too much urbanization in areas (a lack of so-called “green places”) (residential buildings, industrial areas, infrastructure related to transportation such as charging stations, fuels, roadways, and large areas intended for parking and garage spaces);
- Waste management (including hazardous waste) and consumables (e.g., fuels, lubricating oils, engine or air conditioning coolants, windscreen washer fluids, etc.);
- The emission of substances harmful to the environment;
- Noise and vibrations;
- Excessive traffic from motor vehicles;
- Shrinking resources.
- Air, e.g., harmful emitted substances contained in the exhaust gases of traction motors and the gases and vapors of liquids from technological processes or those used in the handling and management of used vehicles;
- Soil, e.g., through leaks from consumables, heavy metal compounds constituting the components of exhaust gases, and dust;
- Water, e.g., liquid leaks; the emission of substances harmful to the environment, e.g., from automotive sources; and the violation of water regulations, e.g., significant construction investments are acutely felt by a person, affecting his mental and physical comfort. Along with the development of urban planning, the number of cases of cancer, food contact or inhalation allergies, and asthma is increasing.
- Engineering, e.g., buildings, transportation, IT communication;
- Humans (including health, e.g., air status alerts);
- The influence of people’s purchasing decisions, choices, etc.
2. Smart City Research Directions
- Human safety (accidents involving autonomous vehicles, bots, responsibility for decisions);
- Security, including sensitive information;
- The possibility of technological abuse (bad faith, state surveillance, the transmission of inappropriate or biased information, control of human choices);
- Growing inequalities related to the digital exclusion of the poor and the elderly;
- Cyber-attacks leading to blockades of services, plants, transports, and entire cities and other disasters.
- Slimming down vehicle structures, translating into the following factors:Lower fuel consumption in public transportation (for example, using materials with high tensile strength, good impact strength, and others);Increasing the lifting capacity of existing mobile vehicle structures while also reducing weight (the possibility of transporting more people, reducing the number of raw materials used for production);Developing technologies for mobile flying vehicles, requiring light and reinforced structures (new composite materials, aluminum alloys, AHSS steels, and others).
- Developing materials, e.g., to strengthen the structure of buildings so that parking spaces for flying vehicles or oases of greenery, gardens, and rest areas can be created on their roofs in the future;
- Technologies and materials used in devices for energy acquisition and recovery or transportation (e.g., new connection technologies minimizing energy loss at the point of contact of materials—patents).
3. Purpose of the Article
- Electric vehicles;
- The load-bearing infrastructure of shelters and stops;
- Other buildings.
- The lower consumption of raw materials for production; the possibility of using profiles with a thickness of less than 2 mm;
- Lower fuel/energy consumption and, thus, reductions in CO2 consumption;
- Increasing the passive safety of the vehicle (e.g., the use of high-strength steels for battery housings in electric vehicles);
- Increasing the durability of elements, thus extending repair intervals and reducing the environmental burden of waste materials;
- The ability to transport goods (things, people) with an increased load.
- The ease of shaping thin-walled durable structures, giving the impression of lightness, and, at the same time, the structure can be glazed, e.g., ceilings made of smart glass; additional elements can be mounted on the structure, e.g., solar panels, monitors, mini-gardens, so-called green roofs, etc.;
- Increasing the passive safety of the structure; the structures are resistant to changing weather conditions because they are characterized by higher tensile strength than alloy steels and increased durability in the discussed operating conditions concerning aluminum alloys.
- Reduced consumption of raw materials for production, such by using steel pipe trusses with thinner walls, with a thickness of up to 2 mm for a structure not exposed to weather conditions and 3 mm for a structure exposed to weather conditions;
- Increased fatigue life of AHSS structures, which translates into increased structural safety;
- The possibility of replacing elements that are difficult to access for maintenance with more durable elements in places where it is not possible to use self-repair elements.
4. Research Material
- CORGON-10 (EN-439), gas mixture Ar + 10% CO2;
- CORGON-25 (EN-439), gas mixture Ar + 25% CO2.
- Carbon content of titanium and chromium, which affect the strength of the joint;
- molybdenum and nickel, which affect the plastic properties of the joint;
- Arc voltage, 20.5 V;
- Welding current, 118.5 A;
- DC current source (+) on the electrode.
5. Test Methods
- Visual examination (VT) according to the requirements of PN-EN ISO 17638 and assessment criteria according to EN ISO 5817;
- Magnetic particle testing (MT) according to PN-EN ISO 17638; the test assessment was made according to EN ISO 5817 using a device for testing magnetic flaws: detector type REM—230.
- A tensile strength test (average of 3 measurements; tests were performed using the INSTRON 3369 testing machine—PN-EN ISO 4136:2013-05);
- A bending test. The parameters of the bending test were as follows: sample width b = 22 mm; sample thickness = 1.8 mm; mandrel d = 15 mm; bending angle = 180°. Five measurements were made in the bending test (number of samples) for each sample from the ridge side and the face side using the INSTRON 3369 testing machine—PN-EN ISO 5173:2010;
- (a)
- Cycle asymmetry coefficient R = 0;
- (b)
- Stress amplitude = 250 MPa;
- (c)
- Mean value of stress = 250 MPa;
- (d)
- Minimum stress value = 0 MPa;
- (e)
- Maximum stress value = 500 MPa;
- (f)
- Frequency 5 Hz.
6. Research Results and Their Analysis
7. Summary
- The electrode wire for welding both DOCOL steels should contain higher C and Ti contents;
- The argon-shielding gas mixture should contain a CO2 addition of 10%, although a 25% mixture is more commonly used in welding.
- -
- The reduction of energy consumption in mobile vehicles;
- -
- In the case of load-bearing bus structures made of light, more durable structures, the passive safety of the vehicle will be increased, and this will enable the transportation of more people as the load capacity of the vehicle will be increased.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Glasmeiera, A.; Christopherson, S. Thinking about smart cities. Camb. J. Reg. Econ. Soc. 2015, 8, 3–12. [Google Scholar] [CrossRef]
- Wang, M.; Zhou, T. Understanding the dynamic relationship between Smart City implementation and urban sustainability. Technol. Soc. 2022, 70, 102018. [Google Scholar] [CrossRef]
- OECD, Smart Cities and Inclusive Growth, Building on the Outcomes of the 1st OECD Roundtable on Smart Cities and Inclusive Growth. 2020. Available online: https://www.oecd.org/cfe/cities/OECD_Policy_Paper_Smart_Cities_and_Inclusive_Growth.pdf (accessed on 23 February 2023).
- Roberto, A.; Infante, J. Digital Cities: Fiction and Reality of Necessity. J. SSRN Electron. J. 2006, 1–20. [Google Scholar] [CrossRef]
- Yovanof, S.G.; Hazapis, N.G. An Architectural Framework and Enabling Wireless Technologies for Digital Cities & Intelligent Urban Environments. J. Wirel. Pers. Commun. 2009, 49, 445. [Google Scholar] [CrossRef]
- Geisler, K. The Relationship between Smart Grids and Smart Cities. 2013. Available online: http://smartgrid.ieee.org/newsletters/may-2013/the-relationship-between-smart-grids-and-smart-cities (accessed on 23 February 2023).
- Eremia, M.; Toma, L.; Sanduleac, M. The Smart City Concept in the 21st Century. Procedia Eng. 2017, 181, 12–19. [Google Scholar] [CrossRef]
- Batty, M.; Axhausen, K.W.; Giannotti, F.; Pozdnoukhov, A.; Bazzani, A.; Wachowicz, M.; Ouzounis, G.; Portugali, Y. Smart cities of the future. Eur. Phys. J. Spec. Top. 2012, 214, 481–518. [Google Scholar] [CrossRef] [Green Version]
- Allam, Z.; Chabaud, D.; Gall, C.; Pratlong, F.; Moreno, C. Chapter 6—Enter the 15-min City: Revisiting the Smart City Concept under a Proximity Based Planning Lens. In Resilient and Sustainable Cities; Allam, Z., Chabaud, D., Gall, C., Eds.; Elsevier: Amsterdam, The Netherlands, 2023; pp. 93–105. [Google Scholar] [CrossRef]
- Mohanty, S.P.; Choppali, U.; Kougianos, E. Everything you wanted to know about smart cities: The Internet of things is the backbone. IEEE Consum. Electron. Mag. 2016, 5, 60–70. [Google Scholar] [CrossRef]
- Albino, V.; Berardi, U.; Dangelico, R.M. Smart Cities: Definitions, Dimensions, Performance, and Initiatives. J. Urban Technol. 2015, 22, 3–21. [Google Scholar] [CrossRef]
- Snoonian, D. Smart buildings. IEEE Spectr. 2003, 40, 18–23. [Google Scholar] [CrossRef]
- Alanne, K.; Sierla, S. An overview of machine learning applications for smart buildings. Sustain. Cities Soc. 2022, 76, 103445. [Google Scholar] [CrossRef]
- Buckman, A.H.; Mayfield, M.; Stephen, B.M. Beck Smart and Sustainable Built Environment. Environment 2014, 3, 92–109. [Google Scholar] [CrossRef] [Green Version]
- Lee, L.N.; Kim, M.J. A Critical Review of Smart Residential Environments for Older Adults With a Focus on Pleasurable Experience. Front. Psychol. 2019, 10, 3080. [Google Scholar] [CrossRef] [PubMed]
- Kumar, M.; Mehta, G.; Nayar, N.; Gupta, M. IoT in Building Smart Cities and Smart Environment: Your Way to Success. In IOP Conference Series: Materials Science and Engineering; IOP Publishing: Bristol, UK, 2021; p. 012061. [Google Scholar] [CrossRef]
- Torunski, E.; Othman, R.; Orozco, M.; El Saddik, A. A Review of Smart Environments for Energy Savings. Procedia Comput. Sci. 2012, 10, 205–214. [Google Scholar] [CrossRef] [Green Version]
- Ma, Z.; Xie, J.; Li, H.; Sun, Q.; Si, Z.; Zhang, J.; Guo, J. The Role of Data Analysis in the Development of Intelligent Energy Networks. IEEE Netw. 2017, 31, 88–95. [Google Scholar] [CrossRef] [Green Version]
- Hakimi, S.M.; Hasankhani, A. Intelligent Energy Management in Off-grid Smart Buildings with Energy Interaction. J. Clean. Prod. 2019, 244, 118906. [Google Scholar] [CrossRef]
- Dhingra, M.; Chattopadhyay, S. Smart Cities and Smart Communities, Series: Smart Innovation. Syst. Technol. 2022, 294, 395. [Google Scholar] [CrossRef]
- Gunkel, D.J. Communication and Artificial Intelligence: Opportunities and Challenges for the 21st Century. Futures Commun. 2012, 1, 1–25. [Google Scholar]
- Zhang, Z. Application of digital intelligent communication technology in contemporary comparative education methodology. Alex. Eng. J. 2022, 61, 4647–4657. [Google Scholar] [CrossRef]
- Burlacu, M.; Boboc, R.G.; Butilă, E. Smart Cities and Transportation: Reviewing the Scientific Character of the Theories. Sustainability 2022, 14, 8109. [Google Scholar] [CrossRef]
- Zantalis, F.; Koulouras, G.; Karabetsos, S.; Kandris, D. A Review of Machine Learning and IoT in Smart Transportation. Future Internet 2019, 11, 94. [Google Scholar] [CrossRef] [Green Version]
- Rodrigues, M.; Gest, G.; McGordon, A.; Marco, J. Adaptive behaviour selection for autonomous vehicle through naturalistic speed planning. In Proceedings of the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, 16–19 October 2017; pp. 1–7. [Google Scholar]
- Kiran, C.; Krishnamurthy, B.; Ngo, N.S. The effects of smart-parking on transit and traffic: Evidence from SFpark. J. Environ. Econ. Manag. 2020, 99, 102273. [Google Scholar] [CrossRef]
- Himeur, Y.; Elnour, M.; Fadli, F.; Meskin, N.; Petri, I.; Rezgui, Y.; Bensaali, F.; Amira, A. Next-generation energy systems for sustainable smart cities: Roles of transfer learning. Sustain. Cities Soc. 2022, 85, 104059. [Google Scholar] [CrossRef]
- Syed, A.S.; Sierra-Sosa, D.; Kumar, A.; Elmaghraby, A. IoT in Smart Cities: A Survey of Technologies, Practices and Challenges. Smart Cities 2021, 4, 429–475. [Google Scholar] [CrossRef]
- Chen, Y.; Bao, Z.; Zhu, J. Longitudinal associations between cyber victimization and problematic mobile phone use in adolescents: Disentangling between-person effects from within-person effects. Child Abus. Negl. 2023, 138, 106065. [Google Scholar] [CrossRef]
- Wang, M.; Zhou, T. Does Smart City implementation improve the subjective quality of life? Evidence from China. Technol. Soc. 2023, 72, 102161. [Google Scholar] [CrossRef]
- Algayerova, O. People-Smart Sustainable Cities; United Nations: San Francisco, CA, USA, 2020; pp. 1–69. ISBN 978-92-1-117256-0. [Google Scholar]
- NIST 2014: Guidelines for Smart Grid Cybersecurity. Volume 1—Smart Grid Cybersecurity Strategy, Architecture, and High-Level Requirements, National Institute of Standards and Technology, NISTIR 7628, 2014. Available online: https://csrc.nist.gov/publications/detail/nistir/7628/archive/2010-08-31 (accessed on 23 February 2023).
- Dimitrov, W.; Spasov, K.; Trenchev, I.; Syarova, S. Complexity Assessment of Research Space for Smart City Cybersecurity. IFAC-PapersOnLine 2022, 55, 1–6. [Google Scholar] [CrossRef]
- Abd El-Latif, A.A.; Abd-El-Atty, B.; Mehmood, I.; Muhammad, K.; Venegas-Andraca, S.E.; Peng, J. Quantum-Inspired Blockchain-Based Cybersecurity: Securing Smart Edge Utilities in IoT-Based Smart Cities. Inf. Process. Manag. 2021, 58, 102549. [Google Scholar] [CrossRef]
- Andrade, R.O.; Yoo, S.G.; Tello-Oquendo, L.; Ortiz-Garcés, I. Chapter 12—Cybersecurity, Sustainability, and Resilience Capabilities of a Smart City. In Smart Cities and the un SDGs; Visvizi, A., del Hoyo, R.P., Eds.; Elsevier: Amsterdam, The Netherlands, 2021; pp. 181–193. ISBN 9780323851510. [Google Scholar] [CrossRef]
- Mishra, A.; Gangele, A. Smart Materials For Clean And Sustainable Technology For Smart Cities. Mater. Today Proc. 2020, 29, 338–342. [Google Scholar] [CrossRef]
- Patil, M.; Boraste, S.; Minde, P. A comprehensive review on emerging trends in smart green building technologies and sustainable materials. Mater. Today Proc. 2022, 65, 1813–1822. [Google Scholar] [CrossRef]
- Napolitano, R.; Reinhart, W.; Gevaudan, W.; Gevaudan, J.P. Smart cities built with smart materials. Science 2021, 371, 1200–1201. [Google Scholar] [CrossRef]
- Reddy, P.V.; Krishna, A.S.; Kumar, T.R. Study on concept of Smart City and its structural components. Int. J. Civ. Eng. Technol. (IJCIET) 2017, 8, 101–112. [Google Scholar]
- Júnior, H.L.O.; Neves, R.M.; Monticeli, F.M.; Agnol, D.L. Smart Fabric Textiles: Recent Advances and Challenges. Textiles 2022, 2, 582–605. [Google Scholar] [CrossRef]
- Sekhar, B.C.; Dhanalakshmi, B.; Rao, B.S.; Ramesh, S.; Prasad, K.V.; Rao, P.S.; Rao, B.P. Piezoelectricity and Its Applications. In Multifunctional Ferroelectric Materials; IntechOpen: London, UK, 2021. [Google Scholar] [CrossRef]
- Zaszczynska, A.; Gradys, P.; Sajkiewicz, S. Progress in the Applications of Smart Piezoelectric Materials for Medical Devices. Polymers 2020, 12, 2754. [Google Scholar] [CrossRef] [PubMed]
- NASA Kennedy Space Center’s Visitor Complex at Cape Canaveral, Florida, 2017. Available online: https://news.gatech.edu/news/2017/12/13/piezoelectric-tiles-light-way-kennedy-space-center-visitors (accessed on 28 February 2022).
- Spark, A. Automotive Smart Memory Materials, Carnorama Automotive Views, 2014. Available online: https://www.carnorama.com/1225/automotive-smart-memory-materials/ (accessed on 28 February 2022).
- Cuerva, J.; Campo, A.; Cano, M.; Lodeiro, C. Platinum(II) Metallomesogens: New External-Stimuli-Responsive Photoluminescence Materials. Chem. Eur. J. 2016, 22, 10168–10178. [Google Scholar] [CrossRef]
- Cuerva, J.; Cano, M.; Lodeiro, C. Advanced functional luminescent metallomesogens: The key role of the metal center. Chem. Rev. 2021, 121, 12966–13010. [Google Scholar] [CrossRef] [PubMed]
- Wei, Y.; Dang, P.; Dai, Z.; Li, G.; Lin, J. Advances in Near-Infrared Luminescent Materials without Cr3+: Crystal Structure Design, Luminescence Properties, and Applications. Chem. Mater. 2021, 33, 5496–5526. [Google Scholar] [CrossRef]
- Ding, S.; Feng, P.; Cao, J.; Ma, X.; Wang, Y. Multiple Coordination of Chromium Ion Luminescence: A Strategy for Designing Ultra-broadband NIR Long Persistent Luminescent Materials. ACS Appl. Mater. Interfaces 2022, 14, 44622–44631. [Google Scholar] [CrossRef] [PubMed]
- Taixiang, L.; Xu, Y. Magnetorheological Elastomers: Materials and Applications. In Smart and Functional Soft Materials; IntechOpen: London, UK, 2019. [Google Scholar] [CrossRef] [Green Version]
- D’Alessandro, A.; Ubertini, F.; Laflamme, S.; Materazzi, A.L. Towards smart concrete for smart cities: Recent results and future application of strain-sensing nanocomposites. J. Smart Cities 2015, 1, 3–14. [Google Scholar] [CrossRef] [Green Version]
- Makul, N. Advanced smart concrete—A review of current progress, benefits and challenges. J. Clean. Prod. 2020, 274, 122899. [Google Scholar] [CrossRef]
- van der Zwan, R. A Smart Bridge is More Than a Bridge, API Management. Available online: https://www.yenlo.com/blogs/a-smart-bridge-is-more-than-a-bridge/ (accessed on 28 February 2022).
- Inaudi, D. Structural Health Monitoring of Bridges: General Issues and Applications. In Woodhead Publishing Series in Civil and Structural Engineering, Structural Health Monitoring of Civil Infrastructure Systems; Vistasp, M., Farhad Ansari, K., Eds.; Woodhead Publishing: Sawston, UK, 2009; pp. 339–370. [Google Scholar] [CrossRef]
- Saadeh, A. Shape-Shifting Metal: The Liquid Gold of this Era. Insidetelecom, 2023. Available online: https://insidetelecom.com/shape-shifting-metal-the-liquid-gold-of-this-era/ (accessed on 28 February 2022).
- Tanjeem, N.; Minnis, M.B.; Hayward, R.C.; Shields, C.W. Shape-Changing Particles: From Materials Design and Mechanisms to Implementation. Adv. Mater. 2022, 34, 2105758. [Google Scholar] [CrossRef]
- Kim, D.; Choi, Y. Applications of Smart Glasses in Applied Sciences: A Systematic Review. Appl. Sci. 2021, 11, 4956. [Google Scholar] [CrossRef]
- Corning, A. Smart Glass Opens a Window to New Applications, 2022. Available online: https://www.radiantvisionsystems.com/blog/smart-glass-opens-window-new-applications (accessed on 28 February 2022).
- Fontão, E. The reality of spatial plans is delaying the growth of sustainable buildings. Energy Rep. 2020, 6, 38–43. [Google Scholar] [CrossRef]
- Mitova, S.; Kahsar, R. Urban energy system impact analysis: Integration of household solar panels and electric vehicles into smart cities via storage and smart charging. Renew. Energy Environ. Sustain. 2022, 7, 25. [Google Scholar] [CrossRef]
- Al-Abri, S.O.; Pervez, T.; Qamar, S.Z.; Khan, R. On the performance analysis of AHSS with an application to SET technology—FEM simulations and experimental measurements. Thin-Walled Struct. 2016, 101, 58–74. [Google Scholar] [CrossRef]
- Shome, M.; Tumuluru, M. Welding and Joining of Advanced High Strength Steels (AHSS), 1st ed.; eBook: Seattle, WA, USA, 2015; ISBN 9780857098580. [Google Scholar]
- Svoboda, H.G.; Nadale, H.C. Fatigue Life of GMAW and PAW Welding Joints of Boron Microalloyed Steels. Procedia Mater. Sci. 2015, 9, 419–427. [Google Scholar] [CrossRef] [Green Version]
- Jurek, A. Increasing of Operating Range of the Mobile Platform form Motor Vehicle While Maintaining the Curb Weight. Ph.D. Thesis, Silesian University of Technology, Katowice, Poland, 2022. Available online: https://bip.polsl.pl/nadania_dr/adam-jurek/ (accessed on 28 February 2022).
- Blazy, J.; Blazy, R.; Drobiec, Ł. Glass Fiber Reinforced Concrete as a Durable and Enhanced Material for Structural and Architectural Elements in Smart City—A Review. Materials 2022, 15, 2754. [Google Scholar] [CrossRef] [PubMed]
- Lewicki, W.; Stankiewicz, B.; Olejarz-Wahba, A.A. The Role of Intelligent Transport Systems in the Development of the Idea of Smart City. In Smart and Green Solutions for Transport Systems; Sierpiński, G., Ed.; Springer: Cham, Amsterdam, 2019; Volume 109, pp. 26–36. [Google Scholar] [CrossRef]
- Elvas, L.B.; Ferreira, J.C. Intelligent Transportation Systems for Electric Vehicles. Energies 2021, 14, 5550. [Google Scholar] [CrossRef]
- Wróblewski, P.; Kupiec, J.; Drożdż, W.; Lewicki, W.; Jaworski, J. The Economic Aspect of Using Different Plug-In Hybrid Driving Techniques in Urban Conditions. Energies 2021, 14, 3543. [Google Scholar] [CrossRef]
- Coban, H.H.; Lewicki, W.; Sendek-Matysiak, E.; Łosiewicz, Z.; Drożdż, W.; Miśkiewicz, R. Electric Vehicles and Vehicle–Grid Interaction in the Turkish Electricity System. Energies 2022, 15, 8218. [Google Scholar] [CrossRef]
- Csukás, S.M.; Szabó, Z.R. The many faces of the Smart City: Differing value propositions in the activity portfolios of nine cities. Cities 2021, 112, 103116. [Google Scholar] [CrossRef]
- Banach, M.; Długosz, R. A novel approach to cities’ assessment in terms of their implementation of Smart City idea. J. Comput. Appl. Math. 2023, 428, 115161. [Google Scholar] [CrossRef]
Research Areas for Smart Cities | Examples from the Literature |
---|---|
Smart buildings (ports, airports, offices, etc.): | |
Smart environment: | |
Smart energy: | |
Intelligent IT communication: | |
Intelligent transport: |
Group of Smart Materials | Applications in Smart Cities—Examples | Literature |
---|---|---|
Piezoelectric |
| |
Shape Memory Materials/Shape Memory Effects |
|
|
Chromoactive materials | These materials can be used in the following ways:
| |
Magnetorheological materials | MREs can be used in Smart City as vibration absorbers, vibration isolators, sensors, controllable valves, and adaptive beam structures, as well as sensors and actuators; for example, they can be used as:
|
|
Smart concrete | Smart concrete materials are commonly used to improve city operations and management using the following methods:
| |
Smart bridges |
| |
Shapeshifting metals | Potential applications of these materials in smart cities include the following:
| |
Smart glass | Smart glass is used in vehicles and building in smart cities. Adjustable-tint windows can automatically adapt to ambient light conditions to improve visibility (in buildings or cars) or safety (in vehicles on the road or workplaces). Heat-blocking windows and sunroofs reduce the need for air conditioning and its components in the building, and this can lower fuel consumption and emissions in cars. Smart glass is especially attractive to electric vehicle (EV) makers. |
Steel Grade | C% | Si% | Mn% | P% | S% | Al% | Nb% | Ti% |
---|---|---|---|---|---|---|---|---|
DOCOL 1200 M | 0.11 | 0.21 | 1.69 | 0.011 | 0.002 | 0.041 | 0.15 | 0.024 |
DOCOL 1300 M | 0.14 | 0.23 | 1.35 | 0.012 | 0.002 | 0.043 | 0.16 | 0.026 |
Become | Ys MPA | UTS MPa | Elongation A5, % |
---|---|---|---|
DOCOL 1200 M | 955 | 1210 | 7.3 |
DOCOL 1300 M | 985 | 1305 | 6.2 |
UNION | C% | Si% | Mn% | P% | Cr% | Mo% | Ni% | Ti% |
---|---|---|---|---|---|---|---|---|
X90 | 0.10 | 0.8 | 1.8 | 0.010 | 0.35 | 0.6 | 2.3 | 0.005 |
X96 | 0.11 | 0.8 | 1.8 | 0.010 | 0.45 | 0.65 | 2.45 | 0.007 |
Sample | Welding Speed, mm/min | Electrode Wire | Gas | Observed Result |
---|---|---|---|---|
B1 | 260 | Union X90 | Ar-10% CO2 | Cracks |
B2 | 360 | Union X90 | Ar-10% CO2 | No defects |
B3 | 260 | Union X96 | Ar-10% CO2 | Cracks |
B4 | 360 | Union X96 | Ar-10% CO2 | No defects |
B5 | 260 | Union X90 | Ar-25% CO2 | Cracks |
B6 | 360 | Union X90 | Ar-25% CO2 | No defects |
B7 | 260 | Union X96 | Ar-25% CO2 | Cracks |
B8 | 360 | Union X96 | Ar-25% CO2 | No defects |
Sample | Welding Speed, mm/min | Electrode Wire | Gas | Observed Result |
---|---|---|---|---|
B9 | 260 | Union X90 | Ar-10% CO2 | Cracks |
B10 | 360 | Union X90 | Ar-10% CO2 | No defects |
B11 | 260 | Union X96 | Ar-10% CO2 | Cracks |
B12 | 360 | Union X96 | Ar-10% CO2 | No defects |
B13 | 260 | Union X90 | Ar-25% CO2 | Cracks |
B14 | 360 | Union X90 | Ar-25% CO2 | No defects |
B15 | 260 | Union X96 | Ar-25% CO2 | Cracks |
B16 | 360 | Union X96 | Ar-25% CO2 | No defects |
Sample No. | UTS, MPa | A5 |
---|---|---|
B2 | 684 | 6.4 |
B4 | 702 | 6.4 |
B6 | 678 | 6.5 |
B8 | 669 | 6.5 |
B10 | 755 | 6.1 |
B12 | 760 | 6.1 |
B14 | 763 | 6.1 |
B16 | 745 | 6.2 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Szczucka-Lasota, B.; Węgrzyn, T.; Silva, A.P.; Jurek, A. AHSS—Construction Material Used in Smart Cities. Smart Cities 2023, 6, 1132-1151. https://doi.org/10.3390/smartcities6020054
Szczucka-Lasota B, Węgrzyn T, Silva AP, Jurek A. AHSS—Construction Material Used in Smart Cities. Smart Cities. 2023; 6(2):1132-1151. https://doi.org/10.3390/smartcities6020054
Chicago/Turabian StyleSzczucka-Lasota, Bożena, Tomasz Węgrzyn, Abílio Pereira Silva, and Adam Jurek. 2023. "AHSS—Construction Material Used in Smart Cities" Smart Cities 6, no. 2: 1132-1151. https://doi.org/10.3390/smartcities6020054
APA StyleSzczucka-Lasota, B., Węgrzyn, T., Silva, A. P., & Jurek, A. (2023). AHSS—Construction Material Used in Smart Cities. Smart Cities, 6(2), 1132-1151. https://doi.org/10.3390/smartcities6020054