International Journal of Materials and Product Technology (6 papers in press)

Regular Issues

• Using genetic algorithm to analyse the nanocomposite materials in architectural landscape environment design  
  by Han Shi 
  Abstract: This study explores the optimisation of nanocomposite materials in architectural landscape design using a genetic algorithm (GA). Nanocomposites, known for high strength, hardness, and thermal conductivity, offer great potential but require precise design tuning. The research establishes a GA-based model by defining design objectives and parameter space, then develops a fitness function combining user satisfaction and material performance. Through selection, crossover, and mutation, GA generates and refines design solutions. Comparative experiments with artificial neural networks (ANN), ant colony optimisation (ACO), and particle swarm optimisation (PSO) demonstrate GAs superiority: it achieves a tensile strength of 486.5 MPa, compressive strength of 756.3 MPa, and user satisfaction of 8.2 points outperforming other methods. Results indicate that GA effectively optimises nanocomposite properties to meet diverse landscape design requirements. This work provides a robust framework for intelligent material design, supporting future advancements in sustainable and high-performance architectural environments.
  Keywords: genetic algorithm; artificial neural network; ANN; ant colony optimisation; ACO; particle swarm optimisation; PSO; nanocomposite materials; architectural landscape environment design.
  DOI: 10.1504/IJMPT.2025.10073001
   
  

Special Issue on: Application and Evaluation of Advanced Engineering Materials

• Nondestructive testing method of vehicle body weld defects based on yolov5 algorithm  
  by Pingping Xiao 
  Abstract: In order to effectively improve the accuracy of non-destructive testing of vehicle body weld defects, a non-destructive testing method of vehicle body weld defects based on yolov5 algorithm is proposed. The image information was collected to extract the weld area, and the spatial enhancement method and median filtering method were combined to denoise the extracted weld image. After the weld defect target is detected by the combination of yolov5 algorithm and support vector machine, the improved support vector machine completes the classification and recognition of the defect category, and realises the non-destructive detection of vehicle body weld defects. The results show that the uniformity of the proposed method is maintained above 0.96, and the peak signal-to-noise ratio of the image is above 40 dB, The Pratt quality factor is always stable above 0.93, and the maximum error rate is less than 1%, which shows that the proposed method has strong detection performance.
  Keywords: vehicle body; weld defects; joint denoising; yolov5 algorithm; non-destructive testing; NDT.
  
  
• Ultrasonic testing of internal defects in welding seam of steel pipe pile in port terminal bent structure  
  by Yongkang Gong, Xinye Hu, Junhua Wu 
  Abstract: In order to overcome the problems of low defect location detection rate, low defect type detection accuracy, and long detection time in traditional defect detection methods, an ultrasonic testing method of internal defects in welding seam of steel pipe pile in port terminal bent structure is proposed. Using an ultrasonic flaw detector to collect ultrasonic signals from steel pipe pile welds, the CEEMD algorithm is used to denoise the ultrasonic signals and extract signal features. The extracted features are input into a support vector machine, which introduces Karush-Kuhn-Tucker (KKT) conditions in optimisation theory and Lagrange multipliers to find the hyperplane with the maximum spacing. This hyperplane is used to achieve ultrasonic detection of internal defects in the weld. Experimental results show that the maximum defect location detection rate of the proposed method is 98.76%, the maximum defect type detection accuracy is 98.69%, the detection time varies between 0.21 s and 0.39 s.
  Keywords: port terminal; bent structure; steel pipe pile; internal defects in welding seam; ultrasonic testing; ultrasonic flaw detector; CEEMD algorithm.
  
  
• Rapid planning of industrial robot grasping path in unstructured environment  
  by Jinsong Zheng, Haihong Gu, Qinggang Jiang, Baizhong Zhang 
  Abstract: In order to overcome the problems of low smoothness, long time, and low success rate of traditional industrial robot grasping path planning methods, a rapid planning method of industrial robot grasping path in unstructured environment is proposed. Collect unstructured scene data through LiDAR and perform voxel filtering on the collected point cloud data. Based on the processed point cloud data and RBPF-SLAM algorithm, an environmental map is constructed, and the industrial robot grasping path is rapid planned in the environmental map through the deep deterministic policy gradient algorithm The experimental results show that the maximum smoothness of the grasping path of the industrial robot proposed by the method is 0.98, the minimum path planning time is 0.57s, the grasping success rate is between 96.2% and 97.9%, and the grasping path planning effect is good.
  Keywords: unstructured environment; industrial robot; grasping path; rapid planning; LiDAR; voxel filtering; RBPF-SLAM algorithm; deep deterministic policy gradient algorithm.
  
  
• Experimental study on seismic behaviour of reinforced concrete shear walls in high-rise buildings  
  by Zhigang Qiu 
  Abstract: The objective of this investigation is to assess the earthquake resilience of reinforced concrete shear walls in tall structures through varying techniques of horizontal joint integration and concrete pouring. The experiment involved the creation of five distinct specimen models (SJ-1 through SJ-5), which were subjected to Northridge seismic wave simulations on a shaking table. The findings revealed that the SJ-1 model demonstrated superior seismic resistance attributed to its robust cracking threshold and compression strength. Conversely, the seismic efficacy of models SJ-2 to SJ-5 was markedly influenced by the joint assembly method, leading to suboptimal results. Notably, the SJ-3, SJ-4, and SJ-5 models experienced a substantial reduction in load-bearing capability due to joint malfunction during the advanced stages of testing. Furthermore, the rate of stiffness deterioration in these models escalated once displacements surpassed 10mm, signifying inadequate ductility and energy absorption characteristics
  Keywords: high rise building engineering; reinforced concrete; shear wall; seismic performance.
  
  
• Torque ripple suppression of crop harvester based on unscented Kalman filter under vibration reduction and noise reduction  
  by Shuai Qiao, Fang Zeng 
  Abstract: In order to reduce the fluctuation of the motor stator current waveform and the torque fluctuation coefficient of the motor, this paper proposes a torque ripple suppression method of crop harvesters based on unscented Kalman filter (UKF). Firstly, this article analyses the working principle of the motor in depth by constructing mathematical models of voltage, torque, and motion equations. Secondly, the key step is to use the unscented Kalman filter technique to process the signals of the nonlinear dynamic model. Unscented Kalman filter approximates the probability distribution of nonlinear functions by selecting a set of Sigma points, effectively estimating the system state without introducing linearisation errors. The experimental results show that this method not only makes the stator winding current present a standard sine waveform with a fluctuation range controlled within [-15 A, 15 A], but also reduces the maximum torque fluctuation coefficient to 0.0141.
  Keywords: crop harvester; torque pulsation suppression; unscented Kalman filter; UKF; motor feedback signal; extended state observer.