The present disclosure relates to nesting sub-spaces for a machine tool by reading in evaluation criteria for an arrangement of nested sub-spaces, generating sequence data for an arrangement of nested sub-spaces, repeatedly performing a process until the result data exceeds a specified range. The process includes: generating evaluation data by evaluating the sequence data with an evaluation algorithm, generating result data based on a combinatorial logic of the evaluation data with the evaluation criteria, generating calculation data from the sequence data, the evaluation data, and the result data using the evaluation algorithm, generating further sequence data taking into account the calculation data with the evaluation algorithm, and repeating the process until the result data exceeds a specified range. The calculation data acts onto the generation of new sequence data to improve an arrangement of nested sub-spaces with respect to evaluation criteria.

Planner insight analytics identifies orders and sizes customers can execute to achieve business and operational efficiency. Generating optimal trimming patterns for trimming raw rolls and/or sheets of a flat sheet stock/customer orders includes: (a) receiving customer orders, primary and secondary machine specifications, warehouse inventory, and trade constraints; and (b) generating solutions for (i) order quantity fulfillment, (ii) a primary cutting pattern for the primary machine, (iii) a secondary cutting pattern for the secondary machine, and (iv) inventory details, wherein the solutions are generated with consideration of the initial trade constraints; (c) executing a batch and generating suggestions; (d) generating modified solutions for the parameters in step (b) using revised trade constraints derived from the suggestions generated that override the initial trade constraints in (c); and (e) operating a cutting apparatus. Trim optimization knapsack algorithm with objective function with term relating to trim loss which is eventually minimized is employed.

Examples disclosed herein relate to determining 3D print part placement. In one implementation, a processor generates a user interface to receive user input related to multiple divisions of 3D print parts and a relative ordering between the divisions. The processor may determine part placement information for the parts in the divisions in a 3D print build area based on user input to the user interface. The processor may translate the determined part placement information into 3D printer instructions.

A system (100) for cutting work product (104) into portions (P) and unloading the portions includes a conveyance system (102) for carrying the workpieces and portions, as well as a scanner (110) for scanning the work products. A cutter system (120) composed of cutter assemblies (122) carried by carrier systems (124) may be arranged in an array or series along the conveyance system for cutting, trimming, and portioning the work products (104) into end pieces (P) of desired sizes or other physical parameters. An unloading system (130) composed of one or more unloading assemblies/units/apparatus (132) are carried by the same carrier systems (124) used to carry the cutter assemblies (122) to pick up the portioned pieces (P) and either move them to a different location or replace the portioned workpieces back onto the conveyance system after the trim of the workpiece has been removed.

A method for generating a sequence of cutting plans for cutting out a sequence P of glass pieces in a sequence F of glass sheets, the glass pieces to be stacked according to order and/or positioning requirements on one or more stands C.sub.k, includes retrieving information relating to the location and nature of faults in each of the glass sheets of the sequence F; defining an optimization criterion ; generating, implemented by computer, of one or more sequences S.sub.i of cutting plans PD.sub.ij for the glass sheets according to the location of the faults in each of the glass sheets and while satisfying the order and/or positioning requirements of the glass pieces for each stand C.sub.k; selecting, implemented by computer, of one of the sequences S.sub.i of cutting plans PD.sub.ij according to the optimization criterion .

Methods of nesting parts for 3D printing and of modularly managing the 3D printing as well as corresponding modules are provided. Methods split received part models into model batches, and repeatedly, set consecutive model batches into printing space(s) that are being gradually filled, by defining, for each part model in the model batch, a roadmap with respect to the occupied space and a set of positioning rules, and independently from the other part models in the model batch, and optimizing, in parallel for the part models in the model batch, a part positioning scheme for the model batch parts. The methods may further manage the allocation of printing spaces with respect to incoming printing requests to incorporate the respective parameters into the parameters of the nesting process. The methods exhibit a high level of process parallelization, at all levels of space and parts' allocation and nesting.

A method generates a nesting plan for controlling a cutting process of a flatbed machine tool for cutting workpieces from a material sheet. The nesting plan includes an overlap-free arrangement of sub-spaces corresponding to the workpieces in a two-dimensional planning space as well as a spatial arrangement of predetermined supported spaces. After each new insertion of a sub-space during nesting, a packing density evaluation and at least one evaluation incorporating the position data of the respective initial position of the newly inserted sub-space in a local search space are performed.

In some examples, a request to print a first three-dimensional (3D) part is received. In response to determining that the first 3D part is not similar to any 3D part referred to by an information base, a representation of the first 3D part is extracted, an indication to conduct an operation to produce a design rule for the first 3D part is sent. In response to determining that the first 3D part is similar to a matching 3D part referred to by the information base, a design rule for the matching 3D part is retrieved to print the first 3D part, where the design rule for the matching 3D part specifies a dependency of a property of the matching 3D part on an aspect associated with printing the matching 3D part.

Producing a component having an in use gas washed surface includes: obtaining a reference component having a reference shape with an in use gas washed surface; setting one or more performance threshold for the reference shape, the threshold defining an acceptable performance for the reference shape; obtaining a manufactured component made to the reference shape; measuring the manufactured component and determining a displacement distribution indicative of the geometric deviation of the manufactured component from the reference shape; determining a performance sensitivity distribution for the reference component, the sensitivity distribution having a plurality of points, each point indicative of a performance factor for the reference component; combining the sensitivity distribution and displacement distribution to determine a performance prediction for the manufactured component; determining whether the performance prediction is within the performance threshold; accepting or rejecting the component for use if the predicted performance is within or outside the performance threshold, respectively.

Embodiments provide a pre-cut infeed system for a machine center, such as an edger. A pre-cut infeed system may include an infeed, one or more saws arranged along the infeed, and a scanner optimizer system. The scanner optimizer system may scan a workpiece and determine whether greater value can be obtained from the workpiece by cutting the workpiece transversely into two or more pieces upstream of the machine center. If so, the workpiece may be cut transversely by the saw(s) positioned along the infeed, and the cut pieces may be fed sequentially into the machine center.