This research has objectives to study the production to find the proper size of steel wire mesh to test the properties and to study the implementation of high strength and thermal insulation cement-bonded fiberboard from coconut meal corncob fibers and steel wire mesh. The mixture ratio of cement-bonded fiberboard included Portland cement type1: sand: coconut meal fiber: corncob fiber: water: calcium chloride equal to 1: 0.2: 0.0125: 0.0375: 0.3: 0.03 by weight and 5 different sizes of steel wire mesh were reinforced. Casted by compression and sharking machine. Tested the properties follow the TIS.878-2537. From the results 1 mm of diameter and 1” of gab of steel wire mesh (? 1 mm # 1”) was the proper size to reinforce the cement-bonded fiberboard to get highest bending strength. Moreover this cement-bonded fiberboard can pass the required standard. The high strength and thermal insulation cement-bonded fiberboard from coconut meal corncob fibers and steel wire mesh has the possibility to construction as exterior building wall.

The objectives of this research are to study the production to find the proper ratio to test the physical mechanical properties and thermal conductivity to suggest the implementation and to transfer the technology of l ight-weight precast concrete wall panel product with aerated foam injection technique as core wall. The light-weight precast concrete wall panel product was produced by casting the mortar panels with M3 ratio (proper ratio) set up the steels and injecting the aerated foams. From the testing results followed the TIS.2226-2548 and TIS.878-2537 the general characteristic of light-weight precast concrete wall panel product was perfect. The properties of light-weight precast concrete wall panel product include 17.81 MPa of compressive strength no bending when installed in common behavior 11.38% of water absorption passed in type1 of hardness and impact test 1110.58 kg/m3 of density 9.18 MPa of bending strength and 0.186 watt/m.K of thermal insulation. This light-weight precast concrete wall panel product can use as the thermal insulation wall in building. the developing product can apply to register the petty patent.

The objectives of this research are to study the production to find the proper ratio to test the physical mechanical properties and thermal conductivity to suggest the implementation and to transfer the technology of light-weight precast concrete wall panel products mixed with container foam wastes. Design the ratios of Portland cement type1: coarse sand: lime stone: water equal to 1: 2: 4: 0.7 by weight and adding the container foam wastes equal to 0 0.025 0.050 0.075 and 0.1 by weight. Casting the light-weight precast concrete wall panel products by pouring the concrete into the mold which installed the steels. Test the properties follow TIS.2226-2548 and TIS.878-2537. From the results the proper ratio of adding container foam wastes was 0.075 by weight which had perfect general characteristic 16.48 MPa of compressive strength no bending when installed in common behavior 8.86% of water absorption passed type1 of hardness test passed type 2 of impact test 2014.54 kg/m3 of density 4.30 MPa of bending strength and 0.228 watt/m.K of thermal insulation. This light-weight precast concrete wall panel product can use as the thermal insulation wall in building. Moreover the developing product can apply to register the petty patent.

The data fusion is implement to take the survey data remotely from difference sources and have various looks to be combined to get a new agent. To get better quality of data we will present a method of fusion by wavelet transform with IHS Transformation method or PCA Transformation method. From the results showed that both IHS and PCA Transformation method able to be gotten high quality but the specifications of wave from damage is different.

This research aims to predict the thickness loss of parabolic forming by using hydromechanical deep drawing (HMD) process. The methodology used is the finite element method on the uncertainty of the mechanical properties for 1 mm thickness SPCC sheet metals. The properties consisted of three aspects: strength coefficient (K) strain hardening exponent (n-value) and plastic strain ratio for all three axis (r0 r45 and r90). Multiple simulations were completed by randomly selecting K n r0 r45 and r90 values following the distribution obtained from the uniaxial tensile test. The results would be analyzed by using the regression equation to create the equation to predict the thickness loss of the test pieces obtained from the formation process using the K n r0 r45 and r90 variables without the use of finite element method. This would results in a decrease in the simulation time. Based on 30 experiments of uniaxial tensile test it shows that the sheet metal properties are normally distributed. After that 60 cases of the five variables were randomly selected to simulate the formation by using the finite element method. Finally the results obtained from the aforementioned simulation is analyzed and generated into a regression equation. From the comparison between the value predicted from the regression equation and the result obtained from the formation process it can be seen that the regression equation can effectively predict the thickness loss when the five variables are under the same distribution properties. However the efficiency will decrease when the values of the five variables are beyond the distribution properties obtained from the experiment. In addition the uncertainty of mechanical properties of sheet metal in the simulation displays the chances of discovering test pieces with over 40% thickness loss. The simulation resulted in 5 damaged test pieces accounting for 8.33% of the total process.