Methods and systems are provided for estimation of a road roughness index (RRI) and adjusting vehicle operation based on the metric. In one example, a method may include estimating the RRI as a function of a pitch energy and a roll energy of the vehicle travelling on the road. In response to the RRI being higher than a threshold, engine operation such as EGR flow rate may be adjusted.

Methods and systems are provided for estimation of a road roughness index (RRI) and adjusting vehicle operation based on the metric. In one example, a method may include estimating the RRI as a function of a pitch energy and a roll energy of the vehicle travelling on the road. In response to the RRI being higher than a threshold, engine operation such as EGR flow rate may be adjusted.

A soil monitoring system for an agricultural tillage implement includes a sensor configured to be coupled to a frame of the agricultural tillage implement. The sensor is configured to be directed toward a region of a soil surface. In addition, the sensor is configured to emit an output signal toward the region of the soil surface and to receive a return signal indicative of a profile of the soil surface within the region. Furthermore, the soil monitoring system includes a controller configured to identify a rough soil profile in response to determining that at least one variation in the profile of the soil surface within the region is greater than a first threshold value, and/or in response to determining that a number of variations in the profile of the soil surface within the region is greater than a second threshold value.

A soil monitoring system for an agricultural tillage implement includes a sensor configured to be coupled to a frame of the agricultural tillage implement. The sensor is configured to be directed toward a region of a soil surface. In addition, the sensor is configured to emit an output signal toward the region of the soil surface and to receive a return signal indicative of a profile of the soil surface within the region. Furthermore, the soil monitoring system includes a controller configured to identify a rough soil profile in response to determining that at least one variation in the profile of the soil surface within the region is greater than a first threshold value, and/or in response to determining that a number of variations in the profile of the soil surface within the region is greater than a second threshold value.

To separate porosity from surface roughness, length scales for pore size and surface roughness are identified. These length scales are determined from surface roughness measurements and confirmed via NMR pore body calculations and pore size capillary pressure measurements. A filter removes pore contribution to surface roughness measurements and delivers intrinsic surface roughness. Additional filters and methods determine the minimum magnification on which to base surface roughness calculation, based on size of the field of view and where measured surface roughness approaches intrinsic surface roughness as magnification increases but larger magnification increase sampling time and difficulty. Sample irregularities, such as saw marks, are also filtered out or determined to be too large to remove via filter and another area of measurement is located. With the pore corrected quantification of surface roughness, surface relaxivity and pore distribution can be calculated with greater accuracy.

A method of assessing the quality of a bond coat for bonding a ceramic coating to a metallic substrate comprises determining a thresholded summit area for the bond coat.

Disclosed is a full-hydraulic automatic diaphragm wall cutting-grooving machine, which includes a supporting frame, a cutting device, a cutting driving device and a verticality detection device. The verticality detection device is used to detect the verticality and flatness of the diaphragm wall during the cutting process, the cutting device is used to drive the supporting frame and an equipment arranged on the supporting frame to move and cut, the cutting driving device is used to drive and adjust the cutting device in different directions. The verticality detection device is used to realize the automatic measurement of the verticality of the wall and the bottom surface and the flatness of the wall during the cutting process.

Disclosed is a full-hydraulic automatic diaphragm wall cutting-grooving machine, which includes a supporting frame, a cutting device, a cutting driving device and a verticality detection device. The verticality detection device is used to detect the verticality and flatness of the diaphragm wall during the cutting process, the cutting device is used to drive the supporting frame and an equipment arranged on the supporting frame to move and cut, the cutting driving device is used to drive and adjust the cutting device in different directions. The verticality detection device is used to realize the automatic measurement of the verticality of the wall and the bottom surface and the flatness of the wall during the cutting process.

A method for filtering a measurement data set usable for specifying and/or verifying an internal feature of a workpiece, the method includes providing a measurement data set comprising a plurality of measurement points of the internal feature; providing an auxiliary feature representing an ideal estimate for the internal feature of the workpiece; mirroring each measurement point of the measurement data set on a boundary element of the auxiliary feature, thereby generating a first modified data set comprising a plurality of first modified measurement points; determining a convex hull of the first modified measurement points and projecting the first modified measurement points onto the determined convex hull, thereby generating a second modified data set comprising a plurality of second modified measurement points; and mirroring each second modified measurement point on the boundary element of the auxiliary feature, thereby generating a filtered measurement data set comprising a plurality of filtered measurement points.

A method for filtering a measurement data set usable for specifying and/or verifying an internal feature of a workpiece, the method includes providing a measurement data set comprising a plurality of measurement points of the internal feature; providing an auxiliary feature representing an ideal estimate for the internal feature of the workpiece; mirroring each measurement point of the measurement data set on a boundary element of the auxiliary feature, thereby generating a first modified data set comprising a plurality of first modified measurement points; determining a convex hull of the first modified measurement points and projecting the first modified measurement points onto the determined convex hull, thereby generating a second modified data set comprising a plurality of second modified measurement points; and mirroring each second modified measurement point on the boundary element of the auxiliary feature, thereby generating a filtered measurement data set comprising a plurality of filtered measurement points.