scholarly journals XGBoost automates the characterisation of reversibly actuating planar-flow-casted NiTi shape memory alloy foil

2021 ◽  
Author(s):  
RITABAN DUTTA ◽  
Cherry Chen ◽  
David Renshaw ◽  
Daniel Liang
Keyword(s):  
Shape Memory ◽  
Smart Materials ◽  
Experimental System ◽  
Material Design ◽  
Gradient Boosting ◽  
Niti Shape Memory Alloy ◽  
Thermal Stimulus ◽  
Planar Flow ◽  
Alloy Foil ◽  
Extreme Gradient Boosting

Abstract Nickel-Titanium (NiTi) shape memory alloys (SMAs) are smart materials able to recover their original shape under thermal stimulus. Near-net-shape NiTi SMA foils of 2 meters in length and width of 30 mm have been successfully produced by a planar flow casting facility at CSIRO, opening possibilities of wider applications of SMA foils. The study also focuses on establishing a fully automated experimental system for the characterisation of their reversible actuation, significantly improving SMA foils adaptation into real applications. Artificial Intelligence involving Computer Vision and Machine Learning based methods were successfully employed in the development of the automation SMA characterisation process. The study finds that an Extreme Gradient Boosting (XGBoost) Regression model based predictive system experimented with over 175,000 video samples could achieve 99% overall prediction accuracy. Generalisation capability of the proposed system makes a significant contribution towards the efficient optimisation of the material design to produce high quality 30 mm SMA foils.

An Ablation Parameter Study and Micromachining of NiTi Based Shape Memory Alloy Using Femtosecond Laser

2007 ◽  
Author(s):  
Nitin Uppal ◽  
Panos S. Shiakolas
Keyword(s):  
Shape Memory Alloy ◽  
Femtosecond Laser ◽  
Shape Memory ◽  
Smart Materials ◽  
Interaction Mechanism ◽  
Laser Pulses ◽  
Femtosecond Laser Pulses ◽  
Niti Shape Memory Alloy ◽  
Parameter Study ◽  
New Applications

The use of femtosecond lasers for the micromachining of engineering materials with micro and submicron size features is slowly but steadily increasing. This increase though presents challenges in understanding the interaction mechanism of femtosecond laser pulses with a material and defining process parameters for quality machining. This manuscript will present the setup for a 3DOF femtosecond laser microfabrication (FLM) system and its use in studying the ablation (single and multi shot) characteristics and incubation coefficient of nickel-titanium (NiTi) shape memory alloy. Understanding of these characteristics could allow for the identification of new applications of smart materials in the macro, micro, nano and MEMS domains.

scholarly journals OPTIMIZATION OF NICKEL CONTENT ON SOME PROPERTIES OF (NITI) SHAPE MEMORY ALLOY

2020 ◽  
Vol 1 (01) ◽  
pp. 40-47
Author(s):  
Aissa Bouaissi ◽  
Nabaa S Radhi ◽  
Karrar F. Morad ◽  
Mohammad H. Hafiz ◽  
Alaa Abdulhasan Atiyah
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Smart Materials ◽  
Shape Recovery ◽  
Fatigue Behavior ◽  
Nickel Content ◽  
Functionally Graded ◽  
Niti Shape Memory Alloy ◽  
Shape Effect ◽  
The Impact

Shape Memory Alloys (SMAs) are one of the most hopeful smart materials, especially, Nickel–Titanium (NiTi or Nitinol). These alloys are great and desirable due to their excellent reliability and behavior among all the commercially available alloys. In addition, strain recovery, (Ni–Ti) is granulated for a wide variety of medical uses because of its favorite properties such as fatigue behavior, corrosion resistance and biocompatibility. This paper explores the creation and the characterization of functionally graded (NiTi) materials. This work demonstrations the impact of Nickel contains changes on the characteristics of NiTi shape memory alloy, in order to obtain the suitable addition of Nickel contain, which gives the optimal balance between hardness, start and finish martensitic point, shape recovery and shape effect of alloys properties. These materials are prepared to obtain suddenly or gradually microstructure or composition differences inside the structure of one piece of material, the specimens made by powder metallurgy process and the influence of every layer of composite by; micro-hardness, transformation temperature DSC and shape effect. The hardness value and shape recovery decrease with increase nickel content. superior shape memory effect (SME) and shape recovery (SR) properties (i.e., 8.747, 10.270 for SMA-FGM1 SMA-FGM2 respectively, and SR is 1.735, 2.977 for SMA-FGM1 SMA-FGM2) respectively.  

Micromachining Characteristics of NiTi Based Shape Memory Alloy Using Femtosecond Laser

2008 ◽  
Vol 130 (3) ◽  
Author(s):  
Nitin Uppal ◽  
Panos S. Shiakolas
Keyword(s):  
Shape Memory Alloy ◽  
Femtosecond Laser ◽  
Shape Memory ◽  
Smart Materials ◽  
Morphological Changes ◽  
Wide Spectrum ◽  
Interaction Mechanism ◽  
Laser Pulses ◽  
Femtosecond Laser Pulses ◽  
Niti Shape Memory Alloy

Femtosecond laser micromachining (FLM) is a relatively new and promising technology for the micromachining of a wide spectrum of engineering materials with micron and submicron size features. The interaction mechanism of femtosecond laser pulses with matter is not the same as that found in traditional lasers. This manuscript presents a detailed study of the ablation characteristics of a nickel-titanium (NiTi) shape memory alloy in air with femtosecond laser pulses. The single- and multishot ablation threshold fluence and the incubation coefficient (predicting the extent to which accumulation could take place in a material) are evaluated. In addition, morphological changes, such as the emergence of a ripple pattern, are discussed along with the identification of gentle and strong ablation phases. This study provides for the understanding and characterization of NiTi micromachining using FLM technology, which could aid in the identification of new applications for smart materials in the macro-, nano-, and microelectromechanical system domains using this technology.

Adaptive Temperature Control of NiTi Shape Memory Alloy (SMA) for Dynamic Environmental Thermal Convection

2016 ◽  
Author(s):  
Nima Zamani ◽  
Mir Behrad Khamesee ◽  
Mohammad Ibraheem Khan
Keyword(s):  
Shape Memory ◽  
Smart Materials ◽  
Niti Shape Memory Alloy ◽  
Position Sensor ◽  
Convection Coefficient ◽  
Sma Actuators ◽  
The Past ◽  
Niti Sma ◽  
Sma Actuator ◽  
The Cost

In recent years, there have been an increased interest in manufacturing and controlling of smart materials such as NiTi Shape Memory for variety of applications in the fields of robotics, automotive, aerospace, and biomedical. In the past, there have been several studies done to control the position of SMA actuators, they mostly use a position sensor which directly measures the position [1][2]. The use of a position sensor adds substantially to the cost of an actuator unit. Moreover, there have been a few studies done in the field of self-sensing control of SMA actuators, however, they either assume a constant environmental conditions[3] or don’t consider the full complexity of the hysteresis behavior of SMAs [4]. Shape memory effect of SMAs, such as NiTi, are inherently due to a thermal process which leads to a phase transformation between the two solid phases of austenite and martensite [5]. The objective of this paper is to develop an adaptive electrical resistance feedback controller which controls the temperature of the NiTi SMA actuator based on the identified unknown heat convection coefficient.

Thermomechanical and electrical response of a superelastic NiTi shape memory alloy cable

2020 ◽  
Vol 31 (19) ◽  
pp. 2229-2242 ◽  
Author(s):  
Muhammad M Sherif ◽  
Osman E Ozbulut
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Smart Materials ◽  
Complex Geometry ◽  
Electrical Response ◽  
High Energy ◽  
Temperature History ◽  
Niti Shape Memory Alloy ◽  
Outer Diameter ◽  
Resistance Change

Superelastic shape memory alloys are a unique class of smart materials that can recover up to 6% strains. Due to their appealing properties such as high energy dissipation and corrosion resistance, several researchers have assessed the use of such materials in numerous applications ranging from biomedical to civil engineering. This article investigates the thermomechanical and electrical response of a NiTi shape memory alloy cable with a complex configuration subjected to cyclic loading of various strain amplitudes ranging from 3% to 7%. The cable consists of several multi-layered strands with a cumulative outer diameter of 5.5 mm. The thermomechanical results indicate a good correlation of the change in cable temperature with the applied strains and maximum stresses. The temperature history can be used to map the degradation pattern of the shape memory alloy cable. In addition, due to the complex geometry of the cable, the global electrical resistance change does not predict the strain/stress state of the cable; however, it can be used to predict the onset of phase transformations.

Applying Isothermal Injection Moulding Process in the Manufacturing of Polymer Composite Reinforced with NiTi Shape Memory Alloy

2017 ◽  
Vol 380 ◽  
pp. 212-217 ◽  
Author(s):  
C.A. Araújo Mota ◽  
C.J. Araújo ◽  
A.G. Barbosa de Lima ◽  
Tony Herbert Freire de Andrade ◽  
D. Silveira Lira
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Product Quality ◽  
Polymer Composite ◽  
Smart Materials ◽  
Low Cost ◽  
Injection Pressure ◽  
Niti Shape Memory Alloy ◽  
Moulding Process ◽  
Injection Moulding Process

SMART materials have gained several applications in industries, especially aeronautical and biomedical. Therefore, the fabrication process of these materials must present quality in the completion and dimensioning, in addition to well established mechanical properties. In this sense, the Resin Transfer Molding (RTM) process is presented as an alternative to the manufacture of such products. This process presents advantages compared to other methods, such as, product quality and low cost. Thus, this work aims to model and simulate numerically the manufacturing process of polymer composite reinforced with NiTi shape memory alloy by RTM using the Ansys CFX commercial software. Results of pressure, velocity and volume fractions fields of the phases are presented and discussed. It was verified that the process parameters, like injection pressure and resin inlet and air outlet positions influenced the total time of the process and final product quality.

Intelligent Material Design Using Shape Memory Alloy

1994 ◽  
Vol 360 ◽  
Author(s):  
Yasiubumi Furuya
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Smart Materials ◽  
Material Design ◽  
Design Concept ◽  
Promising Material ◽  
Intelligent Materials ◽  
Smart Materials And Structures ◽  
Intelligent Material ◽  
Material Element

AbstractRecently, shape memory alloy(SMA) is regarded as one promising material element natively with intelligent functions. I introduce the fundamental design concept and several trials for developing intelligent(smart) materials and structures by using shape memory alloy. Moreover, I introduce our recent works and point out the necessity for developing fundamental techniques to realize the intelligent materials using SMA.

scholarly journals Mechanical Behaviour of Fibre Reinforced Concrete using Shape Memory Alloys

2019 ◽  
Vol 9 (1) ◽  
pp. 230-232
Keyword(s):  
Reinforced Concrete ◽  
Shape Memory Alloys ◽  
Shape Memory ◽  
Smart Materials ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Niti Shape Memory Alloy ◽  
Fibre Reinforced Concrete ◽  
Fiber Reinforced ◽  
Concrete Mix

Usage of smart materials in concrete is extensively increasing. This study focuses on behavior of fiber reinforced concrete, using shape memory alloys (SMA) fibers. SMA adopted for this study is NiTi shape memory alloy crystals. Concrete is tested for slump and mechanical properties tested are compressive strength for 7 and 28 days. Flexural strength is tested for 28 days. Constant rates of 1% of SMA fibers are added to the concrete mix. Also regular steel fiber reinforced is prepared and test values are compared with SMA fiber reinforced concrete

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