Heat Input Formula Kj Mm



In a high heat input EGW joint of 65 mm thick plates welded with a heat input of 50 kJ/mm, the coarse-grain region in the HAZ can be greatly reduced by proper TiN addition, preventing deterioration of HAZ toughness. However, there are limits to HA Z toughness improvement by this method of TiN addition. After calculation, we get heat input 1.275 kJ/mm in TIG welding process and 1.62 kJ/ mm in MIG welding process which means, the energy consumption or heat input was 27.06% more in case of MIG welding process then in TIG. On the other hand in case of FSW, the heat input was 0.79 kJ/mm (for 635 rpm and 60 mm/ min, 7 kN). Means on less heat input. Heat capacity formula. The formula for specific heat looks like this: c = Q / (mΔT) Q is the amount of supplied or subtracted heat (in joules), m is the mass of the sample, and ΔT is the difference between the initial and final temperatures. Heat capacity is measured in J/(kgK). In arc welding processes, heat input (HI) and arc energy (AE) are both measures of how much energy has been supplied to the workpiece to form a weld. They are both measured in units of energy per unit length. In Europe, this tends to be in kJ/mm, whereas in America it tends to be kJ/in.

Heat input formula kj mm convertMULTI-PASS WELD HEAT INPUT CALCULATIONS

Heat input is an important variable in welding, with standards or specifications often placing restrictions on the variation in heat input between a PQR and a WPS. There are a range of approaches to this, which are summarised in the below:

EN ISO 15614-1: Where hardness requirements apply, the lower limit of heat input qualified is 25% lower than that using in welding the test piece. Where impact requirements apply, the upper limit of heat input qualified is 25% greater than that used in welding the test piece.

ASME IX: Heat input is a supplementary variable, applicable when notch-toughness tests are specified. The WPS specified heat input may not be greater than that recorded on the PQR (not including overlay applications). Heat input can be measured directly, or alternatively, the heat input may be determined by volume of weld metal deposited (per unit length of weld). This volume may also not be greater than that recorded on the PQR.

ASME IX Interpretation IX-81-19 stated that the maximum heat input that should be determined from a PQR is based on the combination of maximum current and voltage with minimum travel speed. It is not based on an average of the heat input of all of the passes. Interpretation IX-04-14 further clarified that the combination of parameters to determine maximum heat input must all come from the same pass or unit length of weld.

AWS B2.1: This takes the same approach as ASME IX, with the WPS heat input not being greater than that recorded on the PQR where toughness requirements are specified.

AWS D1.1: Again, heat input is a supplementary variable for toughness applications. However, D1.1 also contains limits on each electrical parameter, placing limits on the current, voltage and travel speed (with some variation between process). So D1.1 is potentially slightly more rigorous in terms of heat input.

AWS D1.5: This is the most explicit standard in terms of specifying how heat input should be controlled. It provides methods of testing for maximum or minimum heat input or both, along with restrictions on the variation allowed in heat input during PQR testing. Specifically, it states that the heat input of all weld passes (excluding root and cap) should be within +-10% of the average heat input of all of those passes. This requires post-test calculation and then retesting as required. There are also further limits on the heat input range that is allowed on the WPS relative to the PQR

As you can see, there is limited guidance or consensus on how to control and analyse heat input when performing welding procedures with multiple passes. ASME IX explicitly allows a very wide heat input range for a WPS or PQR, whereas AWS D1.5 places tight controls on it. This situation can result in significant disagreements between customers and suppliers who might have different viewpoints regarding how acceptable this is. This makes it important to specify up front how this issue is to be resolved.

If design, application or client codes don’t precisely specify how this data is to be processed, there are three common approaches that can be taken.

1) Weld two test pieces, one at a low heat input and one at a high heat input. Test both. Consider everything between the two to be qualified. While you could make the argument to use the lowest heat argument from the first and the highest heat input from the second, it’s more reasonable to use the average heat input from each weld.

2) Use the highest heat input recorded during the PQR plus the specified tolerance and the lowest heat input minus the specified tolerance as the limits. This is the widest possible and will make welding within the limits easier. It may have an impact on quality.

3) Weld a single test piece, and specify variations based on the average heat input recorded, such as one standard deviation (SD) or a % above and below the mean value. The tolerances can then be placed on this processed data, either the mean or the mean +- one standard deviation.

4) Weld a single test piece, and place requirements on the heat input variation allowed within that test piece. This might be either a specified +-%, as in AWS D1.5, or a value based on the heat input recorded, such as one standard deviation (SD) above and below the mean value. The tolerances can then be placed on this processed data, either the mean or the mean +-one standard deviation.

For all of these approaches, it’s important to consider that for multi-stage welds (eg TIG root and FCAW fill and cap), the different stages must be considered and controlled separately.

To demonstrate the variation these approaches can generate, it’s worth looking at an example set of data, from a theoretical PQR, using MIG welding, in the table below. (Note, I'm not including a thermal efficiency factor of 0.8. here, so assume it's as per ASME IX.)

Current (A)Voltage (V)Travel speed (mm/s)Heat input (kJ/mm)
21421.95.030.93
21721.94.860.98
21221.83.831.21
21321.93.961.18
21421.95.080.92
21221.94.481.04
21121.64.690.97
19122.33.831.11

For this set of data, we've got a mean heat input of 1.04 kJ/mm. We can now process this data in a range of ways, to provide a range of heat inputs for the WPS. These are shown in the table below, from least to most stringent. (Here, % is % of the mean value.)

Min HI (kJ/mm)MethodMax HI (kJ/mm)
0.66Min to Max ± 25%1.47
0.78Mean ± 25%1.3
0.84Mean ± 1 SD ± 10%1.27
0.92Min to Max1.21
0.93Mean ± 1 SD1.15
0.94Mean ± 10%1.14

All of these methods of calculating a WPS heat input range are valid (unless otherwise specified by code), but exactly which is picked can significantly vary weld quality and ease of welding. It should be considered prior to any sort of multi-pass weld qualification.

Heat

The Collie Welding Heat Input Calculator will calculate these possible ranges for a set of user data.

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Heat input calculation kj/mm

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Heat Input Formula Kj Mm =


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Heat Input Formula Kj Mm Conversion Chart

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