Thermal comfort is one of the important factors that meet customer's needs nowadays. The development of textile science and thermal control technology gives the chance to study the thermal comfort of clothing accurately. The garment system is constructed by clothing, air gap, and body skin [1]. Under ordinary temperature, thermal comfort can be achieved from the microclimate in this system with reasonable importation and interaction of conductive, convective radiative heat transfer, as shown in Figure 1 (_{skin}_{cloth}

Some experimental studies are available in the literature where thermal comfort performance of 3D body was analyzed under different types of exposures [2, 3]. The bench top test was widely used to study heat transfer between the body and clothing either 2D or 3D [4,5,6]. However, the air gap was considered to be equally everywhere because the bench was considered to be flat [2, 7]. Santos [8] used a computational fluid dynamics (CFD) approach to perform numerical studies of fluid flow and heat transfer across cylindrical clothing microclimates with different values of microclimate thickness and argued that the increase of microclimate thickness can decrease the convective heat fluxes rapidly. Some scholars discussed a few finite volume method (FVM) models of heat transfer in the microclimate under the assumption of constant thermophysical properties of the fabric and constant convection in the air gaps [4, 6]. Ghazy [9] used the FVM method to solve the radiative transfer equations and energy equations and analyzed the effect of the dynamic air gap on heat transfer through the air gap. Udayraj [10] studied the heat transfer through air gaps by the CFD model, which considered conduction, convection, and radiation, and insisted that the heat flux was deviated to a lower level if neglect convection.

As mentioned above, not enough work has been done on analyzing the heat transfer mechanism of the real 3D human body. The present study thus employs an FVM to develop a test method for determining the conduction, convection, and radiation heat flux between 3D body and clothing. The distributions of temperature on clothing surface and heat flux on the body surface are discussed. The relationship between heat flux and air gap distance, as well as airflow properties are analyzed.

In the present work, heat transfer through clothing involving air gap is analyzed and temperature distribution on clothing surface is predicted. A standard female body and a type of fitting apparel are chosen here. The surface of the female body is established by the CLO 3D virtual try-on programs. Then, the girth feature curves were extracted by adding distance ease to the editable feature curves of the initial 3D mannequin [11]. Basic dimensions of body and clothing are given in Table 1.

Basic dimensions of 3D mannequin and clothing

Human body | 84 | 66 | 90 | 80 |

Tight cloth | 88 | 68 | 96 | 80 |

The unstructured grids are generated with fine mesh near walls by the commercial mesh generation software ICEM-CFD 17.0. For the symmetry of the human body, only half-geometry meshes are generated in this study to reduce computation load and improve precision. 3D garment and mesh are shown in Figure 2.

This study focused on the distance ease in the horizontal direction, and four characteristic landmarks (Figure 3(a)) were selected to measure the distance ease and airflow contours. The virtual model of a clothed mannequin was simulated by commercial software

Coupled Reynolds-averaged Navier–Stokes (RANS) equations [12] with radiative transfer equations (RTE) were used to simulate heat transfer and fluid flow in a cloth-air-skin system. Three-dimensional continuity, momentum, and energy equations with the realizable k-ɛ model [13, 14] in tensor forms were considered for modeling heat transfer and fluid flow in the air gap. The divergence of the radiative heat flux can be obtained using:
_{b}

The solid angle Ω and radiation intensity I obtained by solving radiative transfer equations. The particles absorbing, emitting, and scattering are considered by the discrete ordinate radiation model (DORM).

The radiative transfer equations (RTE), used to calculate the radiation heat flux inside the air gap, are solved using the DORM, which is expressed as [15]:
_{p} is the equivalent emission of the particles, _{p}_{p}

_{pi}_{pi}_{i}_{pi}_{pi}

To get the numerical solution for the heat transfer in air gap, some variable conditions, such as initial and boundary conditions, are needed. Owing to the complexity of heat transfer in air gap, some assumptions are adopted to simplify the numerical model. The flow inside air gap can be characterized as turbulent, weakly hem, natural convection due to buoyancy and heat radiation due to temperature gradient compressible flow containing forced convection due to the airflow from the clothing. The airflow within the fabric occurs in a laminar regime with low velocity. The buoyancy effects are considered because of natural convection heat transfer. The air bulk density is set to 1.29 kg/m^{3}. Gravity is considered to be acting in a vertically downward direction. The gravitational acceleration vector is −9.81 m/s^{2}. The mesh independence test was carried out with three different mesh scales, namely, 1.1 million for coarse mesh, 1.6 million for moderate, and 2.2 million for a refined mesh. The refined mesh was selected because of its accuracy to evolve the following calculations [16].

The freestream airflow was applied to the inlet, which is specified as a standard atmosphere with _{air}_{air}

Boundary conditions and physical properties

Inlet | Uniform inlet flow | _{air} = 101325pa,_{air} = 1.165 kg/m^{3},_{air} = vy = 0.5m/s, | _{air} = 283K_{p_air} = 1.0kJ/kg·K_{air} = 0.02 |

Outlet | Back pressure outlet | _{out} =101325pa | – |

Body skin | No-slip, diffuse surfaces | _{skin} =860 kg/m^{3} | _{skin} = 310K_{p_skin} = 5.0kJ/kg·K_{skin} = 0.98 |

Cloth | Diffuse surfaces | – | _{cloth} = 0.95 |

The numerical method is validated first against the available results [8, 18, 19] for a 2D horizontal impermeable cylinder, namely, human limb, with an external environment of 283K. The cylindrical clothing microclimates between the limb and the cloth surface are investigated. Figure 4(a) and (b) shows the present results for heat transfer Nusselt number and dimensionless tangential velocity variation along the skin, respectively, compared against the public works. The present method is found to be well in agreement with the available results and is satisfactory to carry out the following investigation.

The temperature contours under the condition of conduction, convection, and radiation are shown in Figure 5. As can be seen, the temperature distribution looks uneven all over the surface. The locations of the shoulder, upper chest, back chest, lower bust, and lower hem of cloth surface are the highest temperature regions.

To analyze the temperature quantitatively, temperature distributions near chest (

The total heat transfer and radiative heat flux are shown in Figure 7. Predictably, the air gap between the skin and the garment strongly influences the airflow and heat transfer in this region. The area around the neck, waist, and under the bust is the high heat flux regions (HFRs) where the lost total heat flux is above 1400 W/m^{2} (Figure 7 (a)). This phenomenon mainly results from narrow distance ease. Interestingly, the total heat flux under the bust is also very high, for which the distance ease is wide enough. The circumference around the thigh has the maximum heat loss of more than 3200 W/m^{2}. These phenomena might result from air-forced convection, which is taken by the inflow of cooling air from the skirt's hemline. Compared with Figure 7(a), the high radiative HFR (Figure 7(b)) is very different from that of total heat flux. The radiative heat flux on the cloth surface is relatively small about 150 W/m^{2} on the area of middle bust, waist, and abandon. If considered Figure 6 and Figure 7(b) together, we will find that the high cloth surface temperature regions in Figure 6 are similar to low radiative heat transfer regions in Figure 7(b) to some extent. This is because the radiative exchange between the body and clothing depends on the distance between them and the temperature difference. The lower radiation heat transfer across air gap occurs due to the lower temperature gradient.

To analyze the heat transfer distribution quantitatively, heat flux curves at different cross-sections were obtained. It is to be noted that all the heat flux curves present wavelike appearance both on the front and backside of the body (Figure 8). The smaller distance ease leads to the higher heat flux on the whole, further confirming the influence of distance ease on the heat flux. It is also important to note here that the relationship between distance and heat flux is a little complex; the heat flux curve raises to a high level when the ease curve decreases especially at the location of X = 0.00 m to 0.02 m and X = 0.10m to 0.12 m. However, the heat flux curve does not keep pace with the distance ease curve (Figure 8(b) and (d)). Therefore, the total heat flux is affected by air gap distance, and the airflow between the body and clothing should be considered at the same time.

To understand the physical reason behind heat flux and air gap width, another important factor of air velocity was considered. Based on airflow velocity obtained from the CFD analysis for the space of body and cloth, the stream traces are shown in Figure 9(a). As can be seen, the air velocity is relatively small between the double legs because of the wide space. The air velocity increases to a high level around the waist, bust, and chest because of narrow ease distance. The 3D velocity contours distribution between the body and clothing are shown in Figure 9(b). As shown, the high speed appears on the upper chest, bust, and waist with the Mach number of more than 0.02.

If considered Figures 6 and 8 together, we will find that the peak value of temperature partly results from the high-speed cooling airflow. The comparison of high-velocity region (HVR) and HFR are shown in Table 3. These distributions are helpful to understand the influence of forced convection.

High velocity and heat flux regions

^{2}) | ||||
---|---|---|---|---|

neck | Front, side, clavicle | 0.020 | Front, side, clavicle | 2279.6 |

chest | Side | 0.016 | Middle, side | 1430.2 |

Bust | Middle, armpit | 0.019 | Middle, side | 1077.1 |

waist | Side, abdomen | 0.021 | Front, side | 1456.4 |

hip | Lateral | 0.004 | Front | 841.6 |

Thigh | Inner, lateral, round | 0.027 | Round | 3661.4 |

This article aimed to investigate the 3D heat transfer of the body-air-cloth system, coupled conduction, convection, and radiation models. The microclimate characteristics of temperature, heat flux, and velocity contours were discussed in the present work. The following are some of the major observations derived from the study:

The total heat flux is affected by several factors; the coupled effect of air gap and the airflow between the skin and garment strongly influence the temperature and heat flux distribution.

The temperature of the clothing was overall higher at the chest and bust girth due to the conduction heat flux, which can cross through the narrow ease and reach the cloth surface easily. The high-speed cool airflow brings about high forced convective heat transfer and then results in the temperature increase on the cloth surface.

The radiative heat flux is just a small part of total heat flux and has a strong correlation with the temperature gradient between the body and clothing.

#### Basic dimensions of 3D mannequin and clothing

Human body | 84 | 66 | 90 | 80 |

Tight cloth | 88 | 68 | 96 | 80 |

#### High velocity and heat flux regions

^{2}) |
||||
---|---|---|---|---|

neck | Front, side, clavicle | 0.020 | Front, side, clavicle | 2279.6 |

chest | Side | 0.016 | Middle, side | 1430.2 |

Bust | Middle, armpit | 0.019 | Middle, side | 1077.1 |

waist | Side, abdomen | 0.021 | Front, side | 1456.4 |

hip | Lateral | 0.004 | Front | 841.6 |

Thigh | Inner, lateral, round | 0.027 | Round | 3661.4 |

#### Boundary conditions and physical properties

Inlet | Uniform inlet flow | _{air} = 101325pa,_{air} = 1.165 kg/m^{3},_{air} = vy = 0.5m/s, |
_{air} = 283K_{p_air} = 1.0kJ/kg·K_{air} = 0.02 |

Outlet | Back pressure outlet | _{out} =101325pa |
– |

Body skin | No-slip, diffuse surfaces | _{skin} =860 kg/m^{3} |
_{skin} = 310K_{p_skin} = 5.0kJ/kg·K_{skin} = 0.98 |

Cloth | Diffuse surfaces | – | _{cloth} = 0.95 |

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